Job Title : Desktop Support Engineer Years of Exp : 1-4 years Location : Pune, Maharashtra Job Description We are looking for a skilled and service-oriented Desktop Support Engineer to join our IT infrastructure team. The ideal candidate will be responsible for providing end-to-end technical support for desktops, laptops, software, and network systems, ensuring smooth day-to-day operations across the organization. Key Responsibilities Provide first-line technical support for hardware and software issues across Windows and other operating systems. Diagnose and resolve end-user problems related to desktops, laptops, printers, peripherals, and authorized mobile devices. Perform installation, configuration, and maintenance of operating systems, software applications, and security updates. Manage user accounts, access rights, and system permissions within an Active Directory environment. Maintain and troubleshoot network connectivity issues including LAN/Wi-Fi, VPN, DNS, DHCP, etc. Ensure all devices comply with IT security standards and data protection policies. Support software configuration management (SCM) tasks including version control, patch management, and updates. Maintain accurate documentation of issues, resolutions, and asset inventory through ITSM tools. Coordinate with other IT teams and vendors for advanced troubleshooting or equipment replacements. Assist in routine audits, backups, and compliance reviews to ensure system integrity and security. Skills & Qualifications Hands-on experience in software and hardware installation, troubleshooting, and support. Strong understanding of operating systems, IT service management, and desktop environment best practices. Familiarity with ticketing tools, remote desktop support, and network diagnostics. Excellent communication and problem-solving skills with a customer-centric mindset. Why Join Us Gain exposure to dynamic IT environments and industry-standard tools. Work in a collaborative team that values learning and innovation. (ref:hirist.tech) Show more Show less

Skills: Active Directory, Microsoft Azure, Hyper-V, Group Policy Management, Windows Defender Advanced Threat Protection, Windows OS, Windows server, Experience Experience in Windows, Clusters, AD, Vmware/Hyper-V and Azure / GCP Mandatory Skills Active Directory Management (OU/GPO/Forest and domain) Windows server installation and configuration. Windows os upgrades ( Hyper-v, ADC) Windows Failover cluster deployment, management and troubleshooting. VMware/Hyper-V deployment and management. VM creation, deletion, snapshot, clone, migration. File server and share permission. Patch installation and troubleshooting. Antivirus installation and exception management. Change management/Incident management. Working experience on cloud.(Azure/GCP) Monitoring alerts & different KPI and provide L1 observations. Server Hardware replacement activities Preferred Skills Active directory 2+ years or 1000+ users hand-on experience. Server Hardware at least 200+ servers management and basic knowledge on SAN & NAS Storage system. Good understanding of IT Infrastructure technologies and Infrastructure management operations Experience on virtualization technology (VMware/Hyper-V) minimum 50+ virtual machines. Ticket tools & monitoring tools experience. Good understanding of SLA management and escalation matrix. Good understanding of GCVE environment. Desired Certifications : Azure Certification / MCSE certified / VM Ware Certified Show more Show less

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Primary Skills Install and Configure ESRI ArcGIS Ecosystem: Lead the installation and configuration of ESRI ArcGIS Pro 10.9.1, Portal for ArcGIS, and ArcGIS Enterprise. Ensure seamless integration with the Spatial Database Engine (SDE) and manage the migration of enterprise GIS services to the new environment. Deploy and Manage ArcGIS Enterprise Components: Set up and configure key ArcGIS Enterprise components including ArcGIS Server, ArcGIS Data Store, ArcGIS Image Server, ArcGIS Geoprocessing Server, and ArcGIS Web Adaptor. Ensure these components are optimized for performance, security, and scalability. Cloud and High Availability Architecture: Implement high availability (HA) architecture using load balancers and failover mechanisms. Host and manage the GIS infrastructure on Azure Cloud, ensuring reliability and business continuity. Security and Integration Configuration: Configure SSO, SSL, and security tokens to ensure secure access to GIS services. Set up Webmaps and Web Services in alignment with enterprise security and usability standards. Tooling and Automation: Install and configure supporting tools such as FME (Feature Management Engine), ESRI Data Interoperability (DI), ArcPy (Python for ArcGIS), and DI Extensions. Apply DevOps practices for patch deployment and system automation. Agile Delivery and Change Management: Work within Agile and Scrum frameworks to deliver iterative improvements. Follow change management processes to ensure controlled and documented updates to the GIS environment. Secondary Skills Ensure compliance with ESRI licensing requirements. Develop and deploy web-based and mobile-based ESRI configurable apps (e.g., WebApp Builder, Experience Builder). Maintain a strong understanding of geospatial issues and techniques. Experience with configuring the ArcGIS Utility Network (UN) model is a plus. Communicate effectively in English, both written and verbal, to support collaboration and documentation. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Junior Vulnerability Management Analyst What You Will Do Let’s do this. Let’s change the world. In this vital role supports the identification, assessment, and tracking of vulnerabilities across the organization’s IT landscape. The Junior Vulnerability Management Analyst assists senior team members in analyzing vulnerability data, correlating risk indicators (e.g., KEV, EPSS), and supporting remediation efforts. This position offers an opportunity to grow technical expertise while contributing to the organization’s security posture through structured vulnerability management processes. Roles & Responsibilities: Assist with analyzing vulnerability scan results from tools such as Tenable, Qualys, or Rapid7. Support prioritization efforts using CVSS scores, KEV (Known Exploited Vulnerabilities), EPSS (Exploit Prediction Scoring System), and asset criticality. Collaborate with IT and security teams to track remediation status and escalate high-risk findings. Monitor public threat intelligence sources to understand the context of vulnerabilities. Contribute to the development of dashboards and reports for tracking vulnerabilities and trends. Assist in documenting vulnerability management processes and remediation workflows. Support compliance and audit requests by providing vulnerability data as needed. Learn and follow policies related to patch management and secure configurations. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 0 to 3 years of experience in cybersecurity or IT operations with exposure to vulnerability or security tools OR Diploma and 4 to 7 years of experience in cybersecurity or IT operations with exposure to vulnerability or security tools Must-Have Skills: Basic familiarity with vulnerability management platforms (e.g., Tenable, Qualys, or Rapid7) Understanding of basic CVSS scoring and vulnerability classification Awareness of cybersecurity concepts such as threat intelligence, patching, and risk assessment Foundational knowledge of networking and common IT systems Willingness to learn and grow in the field of vulnerability management Preferred Qualifications: Good-to-Have Skills: Exposure to KEV, EPSS, or similar threat-based scoring frameworks Basic experience with scripting languages (e.g., Python, PowerShell) Awareness of cloud security tools (e.g., AWS Inspector, Azure Defender) Familiarity with compliance standards such as NIST, ISO, or PCI-DSS CompTIA Security+ (preferred) Tenable Certified Nessus Auditor (Preferred) Qualys Vulnerability Management Specialist (Preferred) Soft Skills: Analytical Thinking – Comfortable working with data and identifying patterns Attention to Detail – Careful review and tracking of vulnerabilities Communication Skills – Able to clearly document and explain findings Collaboration & Teamwork – Works well with cross-functional teams Curiosity & Continuous Learning – Strong interest in cybersecurity and professional growth Problem-Solving Mindset – Seeks practical solutions to real-world security issues What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Job Description Job Purpose We are seeking a skilled and experienced Systems and Network Test Lab Manager to join our dynamic team. The ideal candidate will be responsible for performing comprehensive testing on various operating systems and servers, ensuring the highest level of system and network performance. This role is crucial in maintaining the integrity and efficiency of our infrastructure. Responsibilities Lead and manage a team of Test Lab engineers, providing technical direction and guidance for the infrastructure testing efforts Oversee testing on various operating systems and servers, including but not limited to Linux, Windows, and other UNIX-based systems. Oversee testing on various network operating systems and hardware, including but not limited to Juniper, Arista and F5. Monitor and document test results meticulously, ensuring accurate tracking of system and network performance. Generate reports for test results to identify variations, differences, and potential areas of improvement. Develop, maintain, and suggest enhancements to test cases based on changing requirements and technologies. Oversee Regularly patch and update hardware and software used in support of testing environments leverage latest ICE standards. Collaborate with other team members and departments to refine testing processes and methodologies. Assist in developing test plans and strategies for system and network testing. Proactively identify and troubleshoot issues encountered during testing. Stay updated with the latest trends and advancements in system and network testing. Knowledge And Experience 3+ years of experience managing technical resources in an engineering setting. 3+ years of experience in Linux and Windows administration, including patching and upgrades. 3+ years of experience supporting standard enterprise server hardware (Dell, HPE, Lenovo, etc.), including firmware and hardware upgrades. 2+ years of experience in scripting using Python, Bash, PowerShell, Puppet, or Ansible. Proven experience in developing test automation, integration testing, and performance/stress testing for backend infrastructure. Ability to manage small-scale projects and handle multiple projects and tasks simultaneously. Experience with Jira is a plus. Knowledge of benchmarking tools and performance management utilities such as Phoronix, SysBench, 3DMark, SPECInt. Strong analytical skills with a focus on detail and accuracy. Excellent communication skills, both verbal and written. Bachelor’s degree in computer science, Information Technology, or a related field is preferred. Relevant certifications in system/network administration or testing are advantageous. Preferred Skills Demonstrate strong technical leadership abilities Team player with the ability to work independently. Strong problem-solving and critical thinking skills. Ability to adapt to changing technologies and learn new tools quickly. Good organizational skills with the capability to prioritize tasks. Ability to collaborate with a variety of personalities and skillsets and improve the quality of IT processes. Show more Show less

Position Overview: The Lead Engineer will be responsible for leading the technical operations and support of infrastructure across multiple locations. The candidate will leverage deep expertise in managing and configuring various platforms and technologies, such as Tanium, AWS, Android, iOS, and printer management. This role involves collaborating with cross-functional teams, improving technology processes, and providing high-level support to ensure seamless technology operations. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsibilities: Lead and oversee technology infrastructure, ensuring smooth operations, updates, and configurations Strong experience using Tanium for endpoint security, configuration, and patch management Provide leadership and support in managing mobile device platforms such as Airwatch, Android OS Management, and Google/Chrome OS Administration Configure and manage Windows environments across multiple locations, ensuring efficiency and security Manage and optimize cloud infrastructure using AWS Oversee iOS device configurations, ensuring smooth integration with systems Monitor, configure, and troubleshoot printer management systems across locations Develop and maintain scripts to automate repetitive tasks and enhance system management Provide L2/L3 support for complex technical issues, ensuring quick resolution and minimal downtime Collaborate with cross-functional teams, including IT, Operations, and external vendors, to drive improvements in technology systems Maintain and document standard operating procedures (SOPs) for all aspects of technology management Basic Qualifications: 8 years of experience in IT roles, with a focus on infrastructure management Strong experience using Tanium for endpoint security, configuration, and patch management. Proven experience in managing AWS cloud services Experience in Windows Configuration across multiple locations Familiarity with Airwatch and Android OS Management for mobile device management (MDM) Hands-on experience with Google/Chrome OS Administration Proficiency in managing iOS devices and printer setups in a distributed environment Experience with Linux, Ubuntu, etc., is good to have but not mandatory Strong scripting skills to automate processes and manage infrastructure efficiently Excellent troubleshooting and support skills at L2/L3 levels We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources. Show more Show less

Job Summary: We are seeking a detail-oriented and experienced Network Deployment Technician to execute the physical installation and integration of network hardware, specifically focusing on device removal and Palo Alto firewall rack and stack. This role includes coordination with engineering teams, validation of uplinks, device activation, and documentation. The technician will play a crucial role in the delivery of high-quality service for Nile’s network infrastructure deployments at customer sites. Key Responsibilities:Firewall Rack & Stack: Physically rack Palo Alto firewalls according to elevation diagrams or on-site direction. Assist with test, integration, and confirmation of firewall connectivity. Patch for uplinks where needed to validate network connections. Work with solution engineering teams for successful integration. Capture and upload installation photos to the Nile Service Delivery App. Bring necessary tools (e.g., console cable, laptop) to site. Uplink Installation: Provide uplink cables between Nile Service Block (NSB) Gateway and the customer’s router or firewall. Coordinate with customer or delivery partner to ensure compatible SFPs are available. Install Nile-provided SFPs on the NSB Gateway as required. Legacy Device Removal: Identify and verify devices for removal. Label devices according to project-specific schema. Remove designated legacy devices (e.g., access points, switches). Place removed equipment in pre-reviewed location for Schneider’s collection. Deliverables and Documentation: Rack & Stack Documentation: Capture and upload images of installed and labeled Nile devices using the Nile Service Delivery App. Device Activation: Scan QR codes on Nile devices (switches, WAPs, sensors) to activate them using the mobile app; upload all activation photos to a designated Google Drive folder. Service Acceptance Testing: Complete Nile’s post-installation survey and ensure results are documented for customer review. Required Skills & Qualifications: Proven experience in field deployment of network devices and firewalls (preferably Palo Alto). Familiarity with networking concepts and hardware (access/distribution switches, WAPs, sensors). Ability to follow elevation diagrams and on-site instructions accurately. Competency in using mobile applications for documentation and device activation. Strong troubleshooting and communication skills. Ability to travel to various customer sites as required. Preferred Qualifications: Experience with Nile networks and service delivery tools. Prior experience performing device lifecycle services (installation, activation, and removal). Basic knowledge of fiber and copper uplink cabling standards. Understanding of wireless network deployment and post-installation survey processes. Job Type: Contractual / Temporary Pay: ₹7,000.00 per day License/Certification: CCNA (Required) Location: Nashik, Maharashtra (Required)

Role: Infrastructure Engineer Location: Nashik or Remote Experience Required: 2–4 years Employment Type: Full-Time Job Summary: We are looking for a skilled and detail-oriented Infrastructure Engineer with 2–4 years of experience to join our IT team. The ideal candidate will be responsible for supporting and maintaining the IT infrastructure, ensuring system availability, performance, and security. This role requires a strong understanding of networking, servers, cloud technologies, and system administration best practices. Key Responsibilities: Monitor and maintain IT infrastructure including servers, networks, storage, and cloud environments. Support the installation, configuration, and maintenance of physical and virtual servers. Ensure system performance and availability by monitoring key metrics and implementing proactive measures. Conduct regular system backups and disaster recovery tests. Assist in managing cloud infrastructure (AWS, Azure, or GCP), including provisioning, deployment, and optimization. Troubleshoot infrastructure issues and provide Tier 2/3 support for escalated technical problems. Collaborate with software development, DevOps, and security teams to support deployments and maintain secure environments. Maintain and update documentation for infrastructure processes, configurations, and procedures. Implement and enforce security policies, conduct vulnerability scans, and participate in audit compliance efforts. Automate infrastructure management tasks using scripting or infrastructure-as-code tools (e.g., Terraform, Ansible, PowerShell). Participate in capacity planning and infrastructure scaling strategies. Perform periodic software and firmware updates across infrastructure systems. Support the implementation of monitoring tools and dashboards (e.g., Prometheus, Grafana, Nagios). Requirements: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. 2–4 years of hands-on experience in infrastructure engineering, system administration, or IT operations. Proficiency in Linux and Windows server environments. Experience with networking (TCP/IP, DNS, VPN, firewalls) and virtualization (VMware, Hyper-V, KVM). Familiarity with cloud platforms such as AWS, Azure, or GCP. Knowledge of infrastructure automation and scripting tools (Bash, PowerShell, Python, Terraform, etc.). Strong understanding of cybersecurity practices and patch management. Experience with backup and disaster recovery solutions. Good problem-solving skills and ability to work under pressure. Excellent communication and documentation skills. What We Offer: Competitive salary and benefits Collaborative and inclusive work culture Career development and certification support Exposure to modern infrastructure tools and technologies Note: Candidates chosen for this position must be open to relocating to Nashik or willing to travel to the Nashik office for approximately two weeks each month. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹600,000.00 per year Benefits: Food provided Provident Fund Schedule: Monday to Friday Supplemental Pay: Performance bonus Shift allowance Location: Nashik, Maharashtra (Preferred) Willingness to travel: 50% (Preferred) Work Location: In person Application Deadline: 06/06/2025

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

The Level 2 (L2) Engineer is responsible for providing intermediate-level technical expertise and support within their area of specialization. As a key member of the engineering or support team, the L2 Engineer handles tasks, procedures, including analyzing and resolving moderately complex technical issues, collaborating with other teams for escalations, and contributing to process improvements. Key Responsibilities: First point of contact for end-users via phone, email, chat, or ticketing system. Log and categorize support tickets in the ITSM system. Troubleshoot and resolve IT issues: password resets, printer issues, network connection, email problems, etc. Provide timely communication and escalate unresolved tickets as needed. Resolve escalated technical issues requiring advanced troubleshooting. Support configuration, deployment, and testing of Linux-based applications and services. Diagnose and troubleshoot OS-level issues including boot failures, kernel panics, file system errors, and permission problems Monitor system performance and resource utilization using tools like top, htop, vmstat, iostat, and netstat Handle problems involving : o OS and application errors o Network configurations o File permissions, domain policies, and Active Directory o Coordinate with other IT teams on infrastructure or security-related matters. o Create and maintain technical documentation for recurring issues and solutions. PowerShell & Automation Tasks: Use PowerShell scripts to automate: User account creation, modification, and disabling (Active Directory) Bulk password resets and group membership updates Software installations and patch deployment Log and event analysis for troubleshooting Create reusable scripts for recurring service requests (e.g., mailbox provisioning, profile cleanup). Maintain a script repository and ensure scripts follow security and compliance best practices. Contribute to process automation and system efficiency improvements. Overall Responsibilities: Support user onboarding/offboarding: hardware setup, software provisioning, account configuration. Maintain hardware/software inventory records. Monitor alerts, system health, and ticket queues to ensure timely resolution. Update and expand the internal knowledge base with how-to guides and fixes. Assist in endpoint security compliance (e.g., antivirus, patching). Requirements Required Skills and Experience: Bachelor’s degree / Diploma in Computer Science, Information Technology, or a related field. Relevant certifications preferred (e.g., CompTIA A+, MCSA, , Microsoft 365 Certified) Experience 3–5 years of hands-on experience in IT support roles. Proven experience in troubleshooting Windows / Linux-based environments. Exposure to service desk tools like Jira,D365, ServiceNow, Freshservice, ManageEngine, or Zoho Desk. Experience working in SLA-driven environments and customer support teams. Preferred Certifications (Nice to Have): Essential / Highly Recommended Certifications CompTIA A+ Foundation-level certification for IT support and troubleshooting. Covers hardware, software, networking, and security basics. Microsoft Certified: Modern Desktop Administrator Associate (if still available) Focuses on Windows 10/11, Microsoft 365, deployment, and device management. Previously included exams like MD-100 and MD-101. Microsoft Certified: Azure Fundamentals (AZ-900) Good for understanding basic cloud concepts, especially if you use Azure AD, Intune, or Microsoft 365. Benefits Why us? Exciting and challenging problems are addressed using wide-ranging technologies and tools. Competitive salary Great team culture, peers and workplace

Description The opportunity: Hitachi Energy is a world leader that is advancing a sustainable energy future for all. We are advancing the world’s energy system to be more sustainable, flexible, and secure, and we collaborate with customers and partners to enable a sustainable energy future – for today’s generations and those to come. The Hitachi Energy Indian Operations Center (INOPC) is a competence center with around 3000+ skilled engineers who focus on tendering, engineering, planning, procurement, project Management, functional system testing, installation supervision, documentation and commissioning. However, over the last decade, it has evolved to become the largest Operations hub. The India Operations Centre team at Chennai, Bangalore and Gurugram supports Hitachi Energy’s units in more than 40 countries across a wide portfolio of all the four business units in Hitachi Energy To date, the team has executed engineering and commissioning for projects in more than 80 countries. The technical marketing engineer for Mission Critical telecommunication Solutions (MCS) has the global responsibility to enable the Pre-Sales & Sales community of the different regional HUBs to understand technical market requirements for wired telecommunication networks and ensure customer interaction in line with global solution/product strategy. Support sales organizations in driving sales by your technical expertise. Provide relevant customer & market inputs to product management and R&D activities, ensuring market alignment and relevance. How you’ll make an impact: You will be supporting Global Projects for HVDC SCADA & HMI. You will be responsible for design and Develop architecture & functional descriptions for Functions / Solutions for HVDC SCADA. You will be Participate in Tender activities, customer meetings. You will be working in database Management/SQL. You will be developing HMI with Intouch application development & configure Gateway Server. Work on IT-Infrastructure with knowledge on routers, firewalls, Switches, Servers and workstations. Prepare & Perform test case scenarios & participate in FST. Backup/ Image handling on servers and workstations and patch management. Involve in Backup/ Image handling on servers and workstations and patch management. Living Hitachi’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: A bachelor’s degree in E&I, I&C, or Mechatronics. You should have 3 to 6 years of experience in Networking, security, Anti-Virus. You should have knowledge in communication protocols, HMI/SCADA. You must have Gateway Server with MicroScada knowledge Basic knowledge on IEEE / IEC standards. Knowledge & Experience MS Office: Word, Excel. Self-starter caliber who could own tasks through to completion. Strong attention to detail. Excellent written and verbal communication skills. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Description The opportunity: Hitachi Energy is a world leader that is advancing a sustainable energy future for all. We are advancing the world’s energy system to be more sustainable, flexible, and secure, and we collaborate with customers and partners to enable a sustainable energy future – for today’s generations and those to come. The Hitachi Energy Indian Operations Center (INOPC) is a competence center with around 3000+ skilled engineers who focus on tendering, engineering, planning, procurement, project Management, functional system testing, installation supervision, documentation and commissioning. However, over the last decade, it has evolved to become the largest Operations hub. The India Operations Centre team at Chennai, Bangalore and Gurugram supports Hitachi Energy’s units in more than 40 countries across a wide portfolio of all the four business units in Hitachi Energy To date, the team has executed engineering and commissioning for projects in more than 80 countries. The technical marketing engineer for Mission Critical telecommunication Solutions (MCS) has the global responsibility to enable the Pre-Sales & Sales community of the different regional HUBs to understand technical market requirements for wired telecommunication networks and ensure customer interaction in line with global solution/product strategy. How you’ll make an impact: You will be supporting Global Projects by adapting HVDC Cyber security for SCADA & HMI & developing architecture & functional descriptions for Functions / Solutions for future HVDC in cyber security technologies. You will be prepare & Perform test case scenarios & participate in FST & supporting projects in resolving the issues related to Cyber security Functions. You will be coordinate with different stakeholders across the business units to get inputs to optimize the Cyber security solutions in HVDC. You will be design & develop a secured network architecture for SCADA system with advanced cyber security features You will evaluate and strengthen the security of any connections to the SCADA network. You will be monitor and validate third party security patches to ensure that reliability of the system is maintained. You will be implementing the security features provided by device and system vendors. You will be performing technical audits of SCADA devices and networks, and any other connected networks, to identify security concerns & conducting physical security surveys and assess all remote sites connected to the SCADA network to evaluate their security. You will be maintaining the test environment with updated software and hardware for current and future use & backup/ Image handling on servers and workstations and patch management. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: Bachelor’s degree in computer science/IT with a minimum knowledge in networking & protections. Candidate should have 6 to 10 years of experience in networking, security, Anti-Virus. Must have Basic knowledge on IEEE / IEC standards. Must have Knowledge & Experience MS Office: Word, Excel. Excellent written and verbal communication skills. Self-starter caliber who could own tasks through to completion Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

About Us Ignatiuz is a digital transformation and intelligent workplace consulting company with offices in the US (PA) and India (Indore). Focused on accelerating digital performance through innovation and automation. Our team has worked with a variety of Fortune 500 clients and has a track record of delivering reliable, high-quality solutions that drive business success. Job Description ​ We are seeking an experienced and highly skilled Senior Database Administrator (DBA) to oversee and manage mission-critical Microsoft SQL Server database environments. This role involves administering various separate databases across virtual servers, configured for high availability with failover clustering. The ideal candidate will be proficient in proactive monitoring and alerting systems, particularly using Redgate, and will bring expertise in maintaining optimal performance, security, and uptime of all database services. Key Responsibilities: · Database Management & Administration: o Oversee and manage the daily operations of multiple SQL Server instances across virtual servers. o Ensure high availability and disaster recovery solutions for mission-critical databases. o Manage and configure SQL Server Always on Availability Groups and SQL Server Failover Clustering to ensure uptime and reliability. o Configure and maintain SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), and SQL Server Analysis Services (SSAS). o Perform regular database health checks and system audits to ensure the security and integrity of data. · Performance Tuning & Optimization: o Perform performance tuning and optimization across all SQL environments to enhance query performance and overall database health. o Proactively identify and resolve potential performance issues including index fragmentation, query optimization, and resource bottlenecks. o Utilize tools like Redgate, SQL Profiler, and SQL Server Management Studio (SSMS) to monitor and identify problematic queries and resources. · Monitoring & Alerting: o Implement and maintain comprehensive monitoring systems using Redgate, SQL Diagnostic Manager, and custom scripts to ensure proactive detection of database issues. o Set up alerting mechanisms to notify teams of critical incidents, database downtime, or performance degradation. o Implement real-time database monitoring and automate response mechanisms to mitigate downtime. · Backup, Recovery, & Security: o Manage regular database backups and implement disaster recovery strategies to ensure minimal downtime during system failures. o Automate backup and recovery procedures, ensuring integrity and availability of data. o Apply security measures including encryption, patch management, and user access controls to maintain data privacy and regulatory compliance. · Database Upgrades & Migrations: o Lead database migrations, upgrades, and patches to newer versions of SQL Server, ensuring minimal disruption to business operations. o Plan and execute database rollouts for new features, ensuring smooth transition and minimal impact on performance. · Collaboration & Support: o Collaborate closely with application development teams to ensure seamless integration of database systems with business applications. o Provide database support for troubleshooting and resolution of database-related issues impacting production environments. o Serve as a subject-matter expert (SME) for other teams on SQL-related technical matters, offering guidance and best practices. · Documentation & Reporting: o Maintain up-to-date documentation for database configurations, backup strategies, high-availability setups, and troubleshooting guides. o Develop and produce regular reports for database performance metrics, capacity planning, and optimization recommendations. · Automation & Scripting: o Develop and maintain scripts to automate routine database maintenance tasks, such as indexing, backups, and log file management. o Use PowerShell, T-SQL, or other scripting languages to automate daily database operations and improve system efficiency. ​ Requirements ​ 8+ years of hands-on experience with Microsoft SQL Server database administration. · Extensive experience managing SQL Server Failover Clustering, Always on Availability Groups, and high-availability database configurations. · Proficiency in database monitoring and alerting tools, especially Redgate, and experience with SQL Diagnostic Manager, SQL Profiler, or other third-party monitoring tools. · Strong experience in database performance tuning and query optimization using techniques such as indexing, query plans, and resource management. · Expertise in backup and disaster recovery strategies, including point-in-time recovery and transaction log management. · Proficiency in writing complex T-SQL queries, stored procedures, and scripts for automation and data manipulation. · Strong understanding of SQL Server security practices, including encryption, roles, and permissions. · Experience with database migrations, upgrades, and patching, particularly in high-availability environments. · Familiarity with virtualized environments and cloud database platforms such as Azure SQL, AWS RDS, or Google Cloud SQL. Preferred Qualifications: · Experience with PostgreSQL and/or NoSQL databases (e.g., MongoDB, DynamoDB). · Familiarity with cloud-based database platforms (Azure SQL, AWS RDS, etc.). · Experience working in virtualized environments (e.g., VMware, Hyper-V). · Exposure to DevOps practices and CI/CD pipelines involving database deployments. Show more Show less

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Country/Region: IN Requisition ID: 26015 Work Model: Position Type: Salary Range: Location: INDIA - NOIDA- BIRLASOFT OFFICE Title: Sr Technical Lead-Cloud & Infra Engg Description: Area(s) of responsibility About Us: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communitie NetApp Storage Job Description: Responsibilities: Provide L3-level support for NetApp CDOT in a NAS environment, ensuring high availability and performance. Demonstrate in-depth expertise in NetApp C Mode, including cluster configuration, SVM/volume-based replication, LIFs setup and storage efficiency implementation. Manage and troubleshoot SMB/CIFS shares, NFS exports and dual protocol shares, ensuring seamless data access and performance. Perform performance analysis, troubleshooting and root cause analysis (RCA)using tools like NetApp Active IQ Manager, OCUM and OnCommand System Manager. Plan and execute patch/microcode upgrades and data migration from other storage arrays to NetApp C Mode, following ITIL Change Management Lead Problem Management activities, including identifying, diagnosing and resolving complex storage issues. Configure and manage Cluster Aggregates, Volumes, Qtrees, Snapshots and SVMs, adhering to industry best practices. Perform capacity planning like monitor storage usage, forecast future needs, and implement strategies for optimal storage utilization Collaborate with vendors and cross-functional teams to resolve complex technical issues and ensure smooth operations. Perform migration task and ability to work on migration / planning of storage from old new hardware Mentor BAU support teams, contribute as individual contributors and translate business requirements into scalable technology solutions. DR configuration and implementation. Skills: Deep knowledge of NetApp ONTAP: Thorough understanding of ONTAP functionality, configuration, and troubleshooting techniques. Experience with SAN/NAS: Familiarity with storage area networks (SAN) and network-attached storage (NAS) technologies. Troubleshooting expertise: Ability to diagnose and resolve complex storage issues. Strong communication skills: Ability to communicate technical information clearly and concisely. Networking knowledge: Understanding of networking protocols and concepts. Relevant certifications: NetApp certifications (e.g., NetApp Certified Administrator) are often preferred.

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript: Deep object cloning, memory management, prototypal inheritance Python: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories. Experience building and maintaining large-scale coding repositories. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice To Haves: Bachelor's or Master's degree in Computer Science. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about software engineering and the future of AI technology, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!