Position : L&D Specialist – LiDar Employment Type : Full-time Experience Range : 3-5 Years as a trainer This is strictly work from office opportunity and we are looking for immediate joiners Required Skill: Skill requirements: • Excellent command of the English language. • Good presentation, communication, and facilitation skills. • Experience in teaching, training, or instructional design is advantageous. • Experience of interaction with overseas clients. • Ability to adapt training approaches for varying skill levels and industries. • High comfort level with using tech tools/platforms. • Attention to detail, critical thinking, and problem-solving skills. • Multi-tasking and time management. • Strong interpersonal skills and analytical bent of mind. • Good with MS Word, Excel, and PowerPoint. • Strong analytical and presentation skill • Proficient in Jira, MS Excel/PowerPoint, Confluence, Notion, and dashboard tools Additional Skill Requirements- Preferred: • Hands-on experience with AV simulation tools and YAML scripting • Deep understanding of LiDAR data, synthetic simulation, and scenario-based testing • Knowledge of AV modules: prediction, planning, perception, and motion control • Proficiency with GenAI tools for automation and analysis About L&D @ iMerit The dual goals of establishing a digital data services business at the cutting edge of technology, and creating sustainable livelihoods for marginalized youth, have led iMerit to develop a highly innovative, in-house Learning and Development (L&D) program. iMerit’s L&D team includes trainers in AI data annotation, client communication and soft skills, eLearning professionals who develop interactive, digital content to support training, and technologists who develop advanced tools and platforms for training and assessment. These teams work in concert and in close collaboration with our business to personalize an employee’s development trajectory, and deliver a world-class client experience. The unique nature of our workforce and the high-tech, global nature of our business make L&D a critical business function at iMerit. Consequently, a L&D role at iMerit is challenging and rewarding with ample opportunities for learning and growth. About iMerit: iMerit (https://imerit.net) delivers data annotation, classification and content moderation outcomes that power AI, Machine Learning and data operation strategies of some of the leading AI organizations in the world. Our work encompasses a client’s journey from exploratory R&D to proof of concept to mission-critical, production-ready solutions. We leverage advanced tools, machine learning algorithms and workflow best practices to enrich, annotate and label large volumes of unstructured data and unlock hidden value. In our human empowered computing model, technology solves for throughput, while our managed workforce teams (across delivery centers in India, Bhutan and the US) solve for accuracy through their deep expertise in Computer Vision, Natural Language Processing and Content Services, and across verticals such as Autonomous Vehicles, Medical AI, Finance, Geospatial technologies and many more. iMerit also creates inclusive and diverse employment in the digital IT sector - around 80% of our workforce are sourced from various impact communities and >50% are women. Show more Show less

Description The OPTIMA team is seeking is seeking an experienced Program Manager to drive scalable and streamlined continuous quality improvement initiatives across processes. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages We are seeking a highly organized, detail-oriented Program Manager to join our rapidly growing team. The role is centered on developing insights and eliminating defects in quality that affects business metrics. As part of this role, you will work on 1) Creating mechanisms to identify, investigate, and solve quality issues impacting the business metrics, 2) Working collaboratively across our partner teams (ex: Science, CX PMs, Engineering, BIE, etc.) to combine efforts to solve problems, 3) Developing data-driven approaches alongside our SWOT/BA teams to rapidly identify opportunity areas, and trends at scale, 4) You will take complex opportunities and break them down into manageable pieces, then ensure timely delivery of solutions Key job responsibilities As Quality Program Manager You Will Drive appropriate data-oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal Communicate and take the lead role in identifying Gaps in process areas and work with all stakeholders to resolve the gaps Be a SME for the process and a referral point for in-house and customer team Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources Ability to meet deadlines in a fast-paced work environment driven by complex software systems and processes Ability to perform deep dive in the process and come up with process improvement solutions Shall collaborate effectively with customers (Science, Engineering, Product, etc.) to bring in improvements to the business metrics Provide regular updates on project progress and performance, ensuring transparency and alignment with key business goals. Exercise discretion in prioritizing process improvements, aligning them with broader business objectives. Ensure effective risk controls are developed and maintained. Implement corrective actions and maintain commitment to goals, ensuring on-time project completion and minimized losses. Develop and influence new ideas, establishing procedures and practices to promote long-term solutions in dynamic environments. Drive continuous improvement and decision-making strategies. Basic Qualifications 2+ years of program or project management experience - Strong analytical and problem-solving skills. - Strong written and verbal communication skills - Able to prioritize in complex, fast-paced environment. - Ability to influence, negotiate and provide alternative business solutions. - Strong operations acumen with in-depth understanding of how operations ecosystems work - Ability to work with virtual teams and across time zones to develop strategies and foster a cohesive and creative work environment to make Amazon feels small. - Experience communicating and presenting to Senior leaders and large groups. - Minimum knowledge of SQL, SharePoint, Excel, Power Point and word Preferred Qualifications Knowledge of Lean principles and DMAIC methodology Experience in MS Access and SQL Experience in requirement gathering and ability to write clear and detailed requirement document - experience in Continuous Improvement using Process analysis to drive improvements through the application of Lean and/or Six Sigma tools and concepts. - Will have significant Continuous Improvement Project/Kaizen leader experience. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A2841279 Show more Show less

Description The mission of the Shopping Core Foundations Human In the Loop (HITL) team is to build tools and capabilities used across Shopping teams to annotate data for LLM and Shopping ML models. We enable model builders to source the data they need to build, evaluate and improve their models. Key job responsibilities The Shopping Core Foundations team seeks a talented Software Development Engineer to lead our Root Cause Analysis (RCA) initiative. This greenfield project aims to revolutionize how we analyze and improve machine learning models across Search, Rufus/GenAI, and Alexa Shopping. You'll develop a cutting-edge RCA system that transforms issue identification and resolution in our complex systems, directly impacting customer experience. This role requires deep understanding of large-scale systems and ML models, with opportunities to integrate the tool with backend systems and ML models. Based in India, you'll work closely with the tool's primary users, offering a unique chance to observe its application and drive continuous improvements. Your customer obsession will be crucial in enhancing the tool to empower operations teams to generate actionable insights for model and CX improvements. Your work will have far-reaching impact across multiple business lines and new CX developments. You'll simplify complex processes, making them more user-friendly and efficient, contributing significantly to the evolution of our shopping platforms. Join us in building a tool that will be central to our continuous improvement efforts, driving innovation and excellence in our global shopping experiences. A day in the life Contribute to the design and implementation of scalable solutions for data selection, RCA-specific data labeling, analysis, and corrective action stages of the RCA process. Collaborate with cross-functional teams including a large annotation team, shopping domain teams, product managers, and ML scientists to understand their needs and implement effective solutions. Develop and maintain components of the RCA tool, including both frontend and backend systems. Optimize data processing workflows to reduce time and complexity in the RCA process. Write clean, maintainable code and contribute to the team's technical documentation. Participate in code reviews and support continuous improvement of development practices. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience with developing user interfaces for data analysis tools. Familiarity with machine learning concepts and their application in data analysis. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2807948 Show more Show less

About the Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. Data Labelling operations is one of the core functional teams within Uber AI Solutions with the responsibility to oversee the end-to-end lifecycle of the data annotation programs for B2B clients. At its core, our ability to build industry-leading data annotation programs is our right to win in this space. As a seasoned program manager for data labeling in the Gen AI space, you will be responsible for defining the programs and its key objectives to support LLM model training. You will drive cross-functional efforts across Operations, Product, Engg and Legal to define the Program-level Ops strategy, define scalable data labeling workflows leveraging internal tools, external vendors, and automation. What the Candidate Will Do Define the key objectives for data labeling projects to support generative AI initiatives. Partner with stakeholders (Sourcing, Engagement, Data Scientists, Machine Learning Engineers, and Product Managers) to identify data requirements and success criteria. Drive daily, weekly, and monthly meetings internally with the partner teams and externally with the customer. Design scalable data labeling workflows that leverage internal tools, external vendors, and automation. Optimize workflows for efficiency, accuracy, and cost-effectiveness, incorporating active learning and pre-labeling techniques where appropriate. Engage and manage relationships with data labeling vendors, ensuring timely delivery and adherence to quality standards. Collaborate with cross-functional teams to align labeling efforts with broader AI model development timelines. Implement robust quality assurance processes to validate labeled datasets against gold standards. Use metrics such as inter-annotator agreement, precision/recall, and throughput to monitor quality and make improvements. Forecast resource requirements and ensure efficient allocation to meet deadlines. Advocate for inclusive and unbiased labeling practices to mitigate bias in AI models. What the Candidate Will Need 5+ years experience managing scaled operations programs with 1+ year experience in GenAI / model training. Experience working in a fast-paced, ambiguous work environment. Strong knowledge of machine learning concepts, particularly around supervised learning and training data needs. Experience working with data annotation platforms and tools. Proven track record of managing large-scale projects with cross-functional teams and external vendors. Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders. Experience in Generative AI, including text, image, video or audio data labeling. Familiarity with active learning, semi-supervised labeling, and human-in-the-loop systems. Strong understanding of ethical AI and best practices for minimizing dataset bias. Strong understanding of the gig economy landscape, freelancer behaviors, and recruitment strategies.

iQuasar Software Solutions is a purpose-driven company with a strong emphasis on “People.” We operate to empower people in the community we operate in. Listen in to our HR Manager explaining the hiring process that helps us to make a change in society by bringing the best talent and helping them grow professionally. Senior Engineer –Land Development Title: Senior Engineer –Land Development We are looking for a highly skilled and experienced Senior Civil 3D Designer with a strong track record of delivering U.S.-based civil engineering projects. The ideal candidate will have 7+ years of experience using Autodesk Civil 3D in the design and drafting of civil infrastructure such as land development, grading, utility layouts and Roadway Design. This position requires a selfdriven professional who can independently manage detailed design tasks, coordinate with multidisciplinary teams, and uphold high drafting standards. Key Responsibilities: Production of detailed civil engineering plans and documentation using Civil 3D, ensuring compliance with U.S. standards and client specifications. Develop and manage Civil 3D models including surfaces, alignments, profiles, corridors, grading plans, and pipe networks (storm, sanitary, water). Interpret engineering inputs and convert them into accurate and constructible design outputs. Create plan and profile sheets, cross-sections, and quantity takeoffs using Civil 3D tools. Coordinate closely with engineers, project managers, and other CAD staff across time zones to deliver high-quality results on schedule. Review and QA/QC drawings prepared by junior team members; provide technical mentorship and training where needed. Contribute to the development and refinement of CAD standards, libraries, and workflow improvements. Manage and organize drawing sets, ensuring consistency and adherence to U.S. codes, guidelines, and best practices (e.g., AASHTO, DOT standards). Train and mentor team members for developing technical skills. Required Skills and Qualifications: Minimum 7 years of professional experience using Autodesk Civil 3D on U.S.-based civil engineering projects Expert Proficiency in Tools like Civil 3D and AutoCAD Deep expertise in: 1. Site grading and earthwork modeling 2. Roadway and corridor modeling 3. Stormwater and utility layout design 4. Sheet set preparation and annotation workflows Strong understanding of United States civil engineering standards and regulatory environments. Proven ability to work independently and take ownership of project deliverables. High attention to detail and commitment to drafting accuracy and quality control. Excellent communication skills and ability to work within a collaborative team environment. WORK HARD AND BE YOURSELF Why Choose Us Leader’s Support Great Team Knowledge Sharing Health Insurance

Role: Process Associate Location: Cantonment & K.K.Nagar,Trichy Mode: Fulltime Experience: 0 to 1+ Years (Freshers can also apply for this Job) Job Description: · Bachelor’s degree or equivalent · Excellent Communication Skills · System Handling Responsibilities: · Will work as a Data Annotator with our Axximum team · This process known as Text Annotation, Data annotation, involves labeling the objects in the scene, such as cars, pedestrians, and traffic signs. · Annotation heavily relies on machine learning models to provide real-time interpretations of point cloud data. · Image, Video, and text annotators contribute to the development of AI and machine learning systems by providing accurately labeled datasets, enabling the training and evaluation of algorithms for various applications such as object detection, image classification, semantic segmentation, and more. · Collaborate with team members, project managers, or stakeholders to address any questions, concerns, or issues related to the annotation process. Effective communication is essential for ensuring consistent and accurate annotations. · Should have good communication skills in English with MS office Knowledge. Thanks & Regards Irfaan Basha A Executive Human Resource Axximum.Inc Ph.no: +91 9442800761 / +91 9843342426 Email: hr@axximum.in Job Types: Full-time, Permanent, Fresher Pay: ₹8,500.00 - ₹10,000.00 per month Schedule: Day shift Morning shift Rotational shift Ability to commute/relocate: Trichy, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: total work: 1 year (Preferred) Work Location: In person

location: GIFT City, Gandhinagar Salary: 20,000 – 30,000 (depends on interview) Shift: Rotational (Cabs Available) #5 Days a Week #AutoCAD #Photoshop #Canva #Image Tracing #Image Vectoring Experience with Photoshop, Canva, or similar tools

Job Title: Annotation Analyst (Back Office / Non-Voice) Location: GIFT City, Gandhinagar Salary: 2 to 2.5 LPA (Depends on Interview) Shift: Rotational (Cab Facility Available) Work Schedule: Must be open to working night shifts and rotating weekends. (5 Days) Working Model: 24/7 (Work from Office) Job Type: Full-Time Role Overview: We’re hiring Annotation Analysts to support our computer vision team by working with 2D and 3D images of homes. This non-voice, back-office role involves matching photos with 3D panoramas and preparing accurate visual data for AI model training. Key Responsibilities: · Match 2D home photos with 3D panoramas · Mark 4 precise points on photos and panoramas · Align room shapes and image positions with floor plans · Convert 2D images to 3D using internal tools · Manipulate and review images to train computer vision models Requirements: · Strong spatial awareness and ability to recognize spaces from various angles · Comfortable working with 3D visuals · Attention to detail and ability to follow visual guidelines · Proficient with tech tools and adaptable to UI changes · Ability to select and identify exact reference points Preferred Qualifications: Educational Qualification: · Any Graduate, Post Graduate · Any graduate with certification done in AutoCAD or VFX or Graphic Designing or Photoshop (Preferred) Experience: Graduate freshers and experienced. Good communication in English. Perks and benefits: · Medicare Facility (free online consultation with Doc) · Medical insurance up to 2 lacs · Free both side cab facilities Show more Show less

Role : Java Developer with Security Concepts Experience : 5 - 7 Years Notice Period : Immediate to 15 Days Key skills required: Java, Spring Boot, Security Concepts (e.g., authentication, authorization, secure coding practices), SQL, Design Patterns, Exception Handling Job Description We are actively seeking talented and experienced Java Spring Boot Developers to join our team. This is an exciting opportunity to work on [mention type of project if known, e.g., developing scalable backend services, building secure applications] and contribute to cutting-edge solutions. Key Responsibilities: Design, develop, and implement high-quality backend services using Java and Spring Boot. Apply best practices for software design patterns and effective use of annotations. Implement robust exception handling mechanisms to ensure application stability. Develop and integrate security concepts and secure coding practices into applications. Perform basic SQL operations for data interaction and management. Collaborate with cross-functional teams to define, design, and ship new features. Contribute to code reviews and maintain high standards of code quality and reusability. Required Skills (Must-Have): Java: Strong proficiency in Java programming. Spring Boot: Solid experience with the Spring Boot framework for building microservices and web applications. Security Concepts: Fundamental understanding of security principles, secure coding practices, and common vulnerabilities. Design Patterns & Annotations: Familiarity with common software design patterns and effective use of Java/Spring annotations. Exception Handling: Proven ability to implement robust exception handling strategies. SQL Skills: Basic proficiency in SQL for database interaction.

Bachelor's or Master's degree in Radiology, Medical Imaging,Pharmacy, Biomedical Engineering, or a related field, statistical background is a plus. Expertise in medical imaging modalities (CT, MRI, X-ray, ultrasound) and proficiency with medical annotation tools (e.g., ITK-SNAP, 3D Slicer, Labelbox, V7 Labs). Strong understanding of clinical anatomy, pathology, and medical terminology Proven experiencein medical image annotation, quality assurancewith deep familiarity with DICOM, PACS, and other medical imaging systems, or a similar role within data-driven environments. Strong analytical skills and meticulous attention to detail. Effective communication and collaboration skills for cross-functional teamwork. Familiarity with annotation tools and quality control software. Knowledge of regulatory requirements, including HIPAA and GDPR compliance, for handling medical data.

- 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing The Amazon Photos team is looking for a world-class Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With all the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space - Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results - Create robust evaluation frameworks for assessing model performance across different domains and use cases - Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. PhD in computer science, machine learning, engineering, or related fields Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Material contributions to the CV/ML/AI field as related to image and video processing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

- 6+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning The Amazon Photos team is looking for a world-class Sr. Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for a Sr. Applied Scientist to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space - Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results - Create robust evaluation frameworks for assessing model performance across different domains and use cases - Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - You will mentor and guide junior scientists and contribute to the overall growth and development of the team About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About The Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. Data Labelling operations is one of the core functional teams within Uber AI Solutions with the responsibility to oversee the end-to-end lifecycle of the data annotation programs for B2B clients. At its core, our ability to build industry-leading data annotation programs is our right to win in this space. As a seasoned program manager for data labeling in the Gen AI space, you will be responsible for defining the programs and its key objectives to support LLM model training. You will drive cross-functional efforts across Operations, Product, Engg and Legal to define the Program-level Ops strategy, define scalable data labeling workflows leveraging internal tools, external vendors, and automation. What The Candidate Will Do Define the key objectives for data labeling projects to support generative AI initiatives. Partner with stakeholders (Sourcing, Engagement, Data Scientists, Machine Learning Engineers, and Product Managers) to identify data requirements and success criteria. Drive daily, weekly, and monthly meetings internally with the partner teams and externally with the customer. Design scalable data labeling workflows that leverage internal tools, external vendors, and automation. Optimize workflows for efficiency, accuracy, and cost-effectiveness, incorporating active learning and pre-labeling techniques where appropriate. Engage and manage relationships with data labeling vendors, ensuring timely delivery and adherence to quality standards. Collaborate with cross-functional teams to align labeling efforts with broader AI model development timelines. Implement robust quality assurance processes to validate labeled datasets against gold standards. Use metrics such as inter-annotator agreement, precision/recall, and throughput to monitor quality and make improvements. Forecast resource requirements and ensure efficient allocation to meet deadlines. Advocate for inclusive and unbiased labeling practices to mitigate bias in AI models. What The Candidate Will Need 5+ years experience managing scaled operations programs with 1+ year experience in GenAI / model training. Experience working in a fast-paced, ambiguous work environment. Strong knowledge of machine learning concepts, particularly around supervised learning and training data needs. Experience working with data annotation platforms and tools. Proven track record of managing large-scale projects with cross-functional teams and external vendors. Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders. Experience in Generative AI, including text, image, video or audio data labeling. Familiarity with active learning, semi-supervised labeling, and human-in-the-loop systems. Strong understanding of ethical AI and best practices for minimizing dataset bias. Strong understanding of the gig economy landscape, freelancer behaviors, and recruitment strategies. Show more Show less

The digital landscape is expanding at breakneck speed—a constant deluge of content from both human creators and AI systems floods our online spaces every moment. While forums, knowledge bases, community threads, and blogs form the essential fabric of digital platforms, they simultaneously present significant risks. Without proper oversight, these spaces can descend into disorder, damage brand reputation, or expose users to harmful content and misinformation. This challenge exceeds human-only solutions, yet AI alone isn't sophisticated enough to handle it—for now. Enter our revolutionary approach. We're pioneering a new frontier in content integrity by creating a symbiotic relationship between human discernment and generative AI capabilities. In our ecosystem, AI isn't relegated to assistant status or viewed as competition—it's a collaborative partner. Each member of our moderation team works in tandem with cutting-edge GenAI tools to evaluate, categorize, prioritize, and enhance content decisions with unprecedented efficiency. Your insights on complex cases and continuous feedback directly improve our AI systems, minimizing false positives and elevating the quality of automated moderation with each iteration. This position transcends traditional content moderation roles. You won't be trapped in an endless queue of manual reviews or function as a detached content police officer. Instead, your days will be spent in dynamic interaction with AI systems—making nuanced decisions, identifying emerging patterns, optimizing workflows, and ensuring quality content reaches its intended audience. If you find satisfaction in structured processes, enjoy resolving ambiguities, and appreciate operational excellence, this role offers you a command center for shaping the future landscape of digital content quality. You'll become part of a team dedicated to platform integrity and scalable operations. Your mission involves keeping our sophisticated systems running optimally: queue management, handling exceptional cases, data annotation for training purposes, and continuously refining feedback mechanisms. If you've leveraged tools like ChatGPT for practical tasks beyond creative exercises—specifically for information processing or classification—you're ready to take your skills to the next level with us. What You Will Be Doing Leverage advanced GenAI tools to evaluate and moderate both user-created and AI-generated content, upholding platform standards and fostering a secure, premium digital environment Orchestrate complex content workflows across multiple systems and teams, ensuring precise tracking, timely processing, and seamless transitions between stages Identify and document exceptional cases, create high-quality training datasets through annotation, and provide detailed, structured feedback to continuously enhance AI moderation accuracy and effectiveness What You Won’t Be Doing Monotonous content screening that involves mindlessly reviewing an endless stream of blog posts without strategic purpose Performing low-impact administrative tasks with minimal autonomy, simply processing items through a queue without meaningful contribution Basic Requirements AI Content Reviewer key responsibilities Minimum 1 year of professional work experience in any relevant field Demonstrated practical experience utilizing generative AI tools (such as ChatGPT, Claude, or Gemini) in professional settings, academic environments, or for significant personal productivity enhancement Exceptional English writing capabilities with clear communication skills About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $15 USD/hour, which equates to $30,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5593-IN-Surat-AIContentRevie.002 Show more Show less

The digital landscape is expanding at breakneck speed—a constant deluge of content from both human creators and AI systems floods our online spaces every moment. While forums, knowledge bases, community threads, and blogs form the essential fabric of digital platforms, they simultaneously present significant risks. Without proper oversight, these spaces can descend into disorder, damage brand reputation, or expose users to harmful content and misinformation. This challenge exceeds human-only solutions, yet AI alone isn't sophisticated enough to handle it—for now. Enter our revolutionary approach. We're pioneering a new frontier in content integrity by creating a symbiotic relationship between human discernment and generative AI capabilities. In our ecosystem, AI isn't relegated to assistant status or viewed as competition—it's a collaborative partner. Each member of our moderation team works in tandem with cutting-edge GenAI tools to evaluate, categorize, prioritize, and enhance content decisions with unprecedented efficiency. Your insights on complex cases and continuous feedback directly improve our AI systems, minimizing false positives and elevating the quality of automated moderation with each iteration. This position transcends traditional content moderation roles. You won't be trapped in an endless queue of manual reviews or function as a detached content police officer. Instead, your days will be spent in dynamic interaction with AI systems—making nuanced decisions, identifying emerging patterns, optimizing workflows, and ensuring quality content reaches its intended audience. If you find satisfaction in structured processes, enjoy resolving ambiguities, and appreciate operational excellence, this role offers you a command center for shaping the future landscape of digital content quality. You'll become part of a team dedicated to platform integrity and scalable operations. Your mission involves keeping our sophisticated systems running optimally: queue management, handling exceptional cases, data annotation for training purposes, and continuously refining feedback mechanisms. If you've leveraged tools like ChatGPT for practical tasks beyond creative exercises—specifically for information processing or classification—you're ready to take your skills to the next level with us. What You Will Be Doing Leverage advanced GenAI tools to evaluate and moderate both user-created and AI-generated content, upholding platform standards and fostering a secure, premium digital environment Orchestrate complex content workflows across multiple systems and teams, ensuring precise tracking, timely processing, and seamless transitions between stages Identify and document exceptional cases, create high-quality training datasets through annotation, and provide detailed, structured feedback to continuously enhance AI moderation accuracy and effectiveness What You Won’t Be Doing Monotonous content screening that involves mindlessly reviewing an endless stream of blog posts without strategic purpose Performing low-impact administrative tasks with minimal autonomy, simply processing items through a queue without meaningful contribution Basic Requirements AI Content Reviewer key responsibilities Minimum 1 year of professional work experience in any relevant field Demonstrated practical experience utilizing generative AI tools (such as ChatGPT, Claude, or Gemini) in professional settings, academic environments, or for significant personal productivity enhancement Exceptional English writing capabilities with clear communication skills About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $15 USD/hour, which equates to $30,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5593-IN-Kolkata-AIContentRevie.003 Show more Show less

The digital landscape is expanding at breakneck speed—a constant deluge of content from both human creators and AI systems floods our online spaces every moment. While forums, knowledge bases, community threads, and blogs form the essential fabric of digital platforms, they simultaneously present significant risks. Without proper oversight, these spaces can descend into disorder, damage brand reputation, or expose users to harmful content and misinformation. This challenge exceeds human-only solutions, yet AI alone isn't sophisticated enough to handle it—for now. Enter our revolutionary approach. We're pioneering a new frontier in content integrity by creating a symbiotic relationship between human discernment and generative AI capabilities. In our ecosystem, AI isn't relegated to assistant status or viewed as competition—it's a collaborative partner. Each member of our moderation team works in tandem with cutting-edge GenAI tools to evaluate, categorize, prioritize, and enhance content decisions with unprecedented efficiency. Your insights on complex cases and continuous feedback directly improve our AI systems, minimizing false positives and elevating the quality of automated moderation with each iteration. This position transcends traditional content moderation roles. You won't be trapped in an endless queue of manual reviews or function as a detached content police officer. Instead, your days will be spent in dynamic interaction with AI systems—making nuanced decisions, identifying emerging patterns, optimizing workflows, and ensuring quality content reaches its intended audience. If you find satisfaction in structured processes, enjoy resolving ambiguities, and appreciate operational excellence, this role offers you a command center for shaping the future landscape of digital content quality. You'll become part of a team dedicated to platform integrity and scalable operations. Your mission involves keeping our sophisticated systems running optimally: queue management, handling exceptional cases, data annotation for training purposes, and continuously refining feedback mechanisms. If you've leveraged tools like ChatGPT for practical tasks beyond creative exercises—specifically for information processing or classification—you're ready to take your skills to the next level with us. What You Will Be Doing Leverage advanced GenAI tools to evaluate and moderate both user-created and AI-generated content, upholding platform standards and fostering a secure, premium digital environment Orchestrate complex content workflows across multiple systems and teams, ensuring precise tracking, timely processing, and seamless transitions between stages Identify and document exceptional cases, create high-quality training datasets through annotation, and provide detailed, structured feedback to continuously enhance AI moderation accuracy and effectiveness What You Won’t Be Doing Monotonous content screening that involves mindlessly reviewing an endless stream of blog posts without strategic purpose Performing low-impact administrative tasks with minimal autonomy, simply processing items through a queue without meaningful contribution Basic Requirements AI Content Reviewer key responsibilities Minimum 1 year of professional work experience in any relevant field Demonstrated practical experience utilizing generative AI tools (such as ChatGPT, Claude, or Gemini) in professional settings, academic environments, or for significant personal productivity enhancement Exceptional English writing capabilities with clear communication skills About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $15 USD/hour, which equates to $30,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5593-LK-COUNTRY-AIContentRevie.003 Show more Show less

Every second, the internet gets messier. Content floods in from humans and machines alike—some helpful, some harmful, and most of it unstructured. Forums, blogs, knowledge bases, event pages, community threads: these are the lifeblood of digital platforms, but they also carry risk. Left unchecked, they can drift into chaos, compromise brand integrity, or expose users to misinformation and abuse. The scale is too big for humans alone, and AI isn't good enough to do it alone—yet. That's where we come in. Our team is rebuilding content integrity from the ground up by combining human judgment with generative AI. We don't treat AI like a sidekick or a threat. Every moderator on our team works side-by-side with GenAI tools to classify, tag, escalate, and refine content decisions at speed. The edge cases you annotate and the feedback you give train smarter systems, reduce false positives, and make AI moderation meaningfully better with every cycle. This isn't a job where you manually slog through a never-ending moderation queue. It's not an outsourced content cop role. You'll spend your days interacting directly with AI to make decisions, flag patterns, streamline workflows, and make sure the right content sees the light of day. If you're the kind of person who thrives on structured work, enjoys hunting down ambiguity, and finds satisfaction in operational clarity, this job will feel like a control panel for the future of content quality. You'll be joining a team obsessed with platform integrity and operational scale. Your job is to keep the machine running smoothly: managing queues, moderating edge cases, annotating training data, and making feedback loops tighter and faster. If you've used tools like ChatGPT to get real work done—not just writing poems or brainstorming ideas, but actually processing or classifying information—this is your next level. What You Will Be Doing Review and moderate user- and AI-generated content using GenAI tools to enforce platform policies and maintain a safe, high-quality environment Coordinate content workflows across tools and teams, ensuring timely processing, clear tracking, and smooth handoffs Tag edge cases, annotate training data, and provide structured feedback to improve the accuracy and performance of AI moderation systems What You Won’t Be Doing A boring content moderation job focused on manually reviewing of blogpost after blogpost An entry-level admin role with low agency or impact, just checking boxes in a queue AI Content Analyst Key Responsibilities Drive continuous improvement of our AI-human content moderation system by identifying patterns, refining workflows, and providing critical feedback that directly enhances platform integrity and user trust. Basic Requirements At least 1 year of professional work experience Hands-on experience using GenAI tools (e.g., ChatGPT, Claude, Gemini) in a professional, academic, or personal productivity context Strong English writing skills Nice-to-have Requirements Experience with content moderation, trust and safety, or platform policy enforcement Background in data labeling, annotation, or training data preparation Familiarity with workflow management tools and structured feedback systems About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $15 USD/hour, which equates to $30,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5593-LK-COUNTRY-AIContentAnaly.002 Show more Show less

- Job Profile : Data Annotation - Location : Gurugram Sector 18 - Rotational Shifts and Offs - Both side Cabs as per International Process - Virtual Interviews HR Rohit - 9870308784 Required Candidate profile Excellent English speaking candidates required - Both Freshers and Experienced candidates required - Assessment : Data Annotation Assessment Operations Round

CTC 25,000 / experience 20,000 / fresher Incentive - Null Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off Required Candidate profile Job Hiring all Updates Check YouTube YouTube Channel - Sonu Chaurasiya HR Sonu Chaurasiya 8448473507 Skill seekers consultancy

Job description Company Description Apexon is a digital-first technology services firm, specializing in accelerating business transformation and delivering human-centric digital experiences. With over 27 years of experience, Apexon helps clients outperform their competition through speed and innovation. The company focuses on User Experience (UI/UX, Commerce), Engineering (QE/Automation, Cloud, Product/Platform), and Data (Foundation, Analytics, AI/ML) services with deep expertise in BFSI, healthcare, and life sciences . Role Description This is for Trainee Associate role at Apexon, Ahmedabad. The Trainee Associate will be responsible for performing data annotation, auditing & providing insights to support improving accuracy. The role also includes generating reports, identifying areas for improvement and collaborating with cross-functional teams. Qualification: Any UG/PG graduate (2019 to 2024 Passed Out) Basic Computer Knowledge Strong analytical thinking and problem-solving skills Experience: 0-6 months Preferred Location: Ahmedabad Mode of Work: Work From Office Joining Preference: Immediate Joiners Mode of interview: Face to Face

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!

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 primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. 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? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. 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 mobile 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. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. 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 JavaScript, React, and the future of frontend development, 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!

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 primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. 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? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React code. 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 mobile 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. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries. Required Qualifications Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React and frontend development. 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 JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Who We Are Simpplr is the AI-powered platform that unifies the digital workplace – bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology. More than 1,000 leading organizations – including AAA, the NHS, Penske, and Moderna – trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com. About the Role Join our forward-thinking team as a Data Scientist where you will address real-world challenges through the lens of AI innovation, specifically focusing on Enterprise Search, Personalization, Content Recommendation, and pioneering work with custom LLM fine-tuning. Work in an environment that fosters collaboration among highly skilled professionals to build next- generation products that significantly impact our clients' operational effectiveness. Key Responsibilities Innovate and develop scalable solutions leveraging AI technologies to process and analyze vast amounts of data efficiently. Quickly prototype, test, and deploy effective AI solutions, managing project timelines and deliverables while incorporating the latest advancements in AI research. Engage with cross-disciplinary teams to identify and implement AI-driven enhancements for user experiences, leading the charge from ideation to deployment. What We’re Looking For 3-5 years of experience in crafting and implementing AI models, with a particular interest in applications within Enterprise Search and Content Personalization. Solid grounding in AI technologies, with proficiency in Python and familiarity with AI development frameworks. Interest or experience in ML-Ops, emphasizing the journey from concept to production scalability of ML models. Openness to candidates with a robust background in backend development who have delved into AI, especially those who have engaged in Enterprise Search, Developing learning to rank models, Agentic Workflows and LLM fine-tuning. Knowledge in developing analytical applications and working with cloud platforms, capable of managing large data sets and complex AI models. Technical skill sets Strong coding skills Understanding basics of Machine Learning, Deep Learning, and Natural Language Processing algorithms Experience in working with data annotation tools and building ML evaluation pipelines Comfort with working in multiple tech stacks Experience in API Development, Docker and AWS Services Nice to have: Experience in ML research, focusing on LLMs, Information Retrieval Systems, Reinforcement Learning, Knowledge Graphs, Agentic Workflows, Retrieval-Augmented Generation (RAG), Recommender Systems, Scaling, Monitoring, and Deploying LLMs Our Ideal Candidate We are in search of individuals who are not merely experienced but deeply passionate about unearthing new challenges and inquiries in the realm of AI. We value creativity, positivity, work ethic and the pursuit of answering intricate questions with methodical accuracy. Multiple positions at different seniority levels are available. Simpplr’s Hub-Hybrid-Remote Model: At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want. Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time. Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis. Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.