1461 Annotation Jobs - Page 25

- Graduate or equivalent (up to 1 year of experience) - Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma - Good English language proficiency: verbal, writing, reading and comprehension - Strong analytical and communication skills - Passion for delivering a positive customer experience, and maintain composure in difficult situations - Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling 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 the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities • Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment • Provide floor support to Operations manager in running day to day operations working closely with Data Associates • Handle work prioritization and deliver based on business needs • Track and report ops metrics and ensure delivery on all KPIs and SLAs • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes • The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing 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.

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling 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 the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing 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.

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling 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 the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing 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 Clarifai Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia. We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage. Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce. Impact We believe that world-class AI is built on a foundation of world-class data. The AI Data Lead for will own the critical, end-to-end process of creating and curating the high-quality datasets that fuel our models. You will be a power user of Clarifai's suite of automated data labeling products, providing direct feedback to our product and engineering teams to drive continuous improvement. Initially, this role will concentrate on building our next-generation vision datasets, with a heavy emphasis on full-motion video. Over time, the scope will strategically expand to include the development of our large-scale language datasets for advanced NLP models. Opportunity Dataset Strategy & Pipeline Development: Collaborate with ML and product teams to define data requirements, starting with complex video and image use cases and expanding into text and language. Design and execute a comprehensive strategy for data acquisition and augmentation. Build, scale, and maintain robust data pipelines to ingest, process, and version large-scale multimedia datasets. Third-Party Labeling & Internal Tool Management (Primary Focus): Leverage Clarifai's automated and AI-assisted labeling tools to efficiently pre-label data and manage human-in-the-loop workflows. Serve as the primary lead for external data labeling vendors who will often verify or enrich AI-generated labels, ensuring projects are on time and within budget. Author crystal-clear labeling instructions for complex tasks, from object tracking in video to, eventually, named entity recognition in text. Implement and manage a rigorous quality assurance (QA) framework for both AI- and human-generated labels. Product Feedback & Improvement Loop: Act as a key internal customer for Clarifai's data labeling products. Provide structured, expert feedback to our product and engineering teams to identify bugs, suggest feature enhancements, and guide the product roadmap. Continuously evaluate and pioneer new strategies for combining automated labeling with human verification to maximize quality and efficiency. Leadership & Collaboration: Lead and mentor a focused set of data labeling partners. Foster a culture of data excellence, ownership, and continuous improvement. Communicate project status, challenges, and outcomes effectively to all stakeholders. Keep track of budgets. Requirements 3+ years in data engineering, with a proven history of building and managing complex data pipelines. Direct, hands-on experience managing third-party data labeling services or in-house annotation teams. Experience working with large-scale vision datasets (image or video). Deep understanding of data labeling processes and quality metrics. Strong proficiency in Python and SQL. Experience with cloud data services (AWS, GCP, or Azure). Exceptional project management, communication, and vendor management skills. A meticulous eye for detail and an unwavering commitment to data quality. Great to Have Specific experience with the complexities of full-motion video datasets and annotation (e.g., temporal consistency, event tagging). Experience in an environment where you regularly used internal tools and provided feedback for their improvement ("dogfooding"). Experience with large-scale language or text datasets. Previous experience in a technical leadership or mentorship role. Experience using a variety of data annotation platforms and tools.

As a Data Annotation Specialist at Human Vision, you will play an indispensable role in our mission to create comprehensive datasets for Computer Vision applications. Your primary responsibility will involve accurately annotating and labeling data crucial for the training and evaluation of machine learning algorithms, ensuring the precision and reliability of computer vision systems.

The University of Hong Kong Apply now Ref.: 532152 Work type: Full-time Department: School of Public Health (22400) Categories: Senior Research Staff & Post-doctoral Fellow Hong Kong Applications are invited for appointment as Research Assistant Professor (RAP)/ Post-doctoral Fellow (PDF) in the Division of Epidemiology and Biostatistics, School of Public Health (Ref.: 532152), to commence on 1 November 2025, on a two- to three-year fixed-term basis for RAP, or a one- to three-year temporary basis for PDF, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD in epidemiology, biostatistics, public health or related disciplines. They must demonstrate an outstanding academic background with publication records in high-impact peer-reviewed journals. Essential qualifications include advanced expertise in developing AI applications using offline/online LLMs (e.g., GPT, Qwen, DeepSeek, Mistral, Llama, Gemma) within Linux environments. They must also demonstrate proficiency in clinical data annotation (brat), Python scripting, and integrating optimization techniques such as fine-tuning, Chain-of-Thought, and Retrieval Augmented Generation to enhance LLM outputs. Experience in creating oncology-specific NLP models with peer-reviewed publications is preferred. Strong quantitative skills are mandatory, including analysing large-scale databases (e.g., Hospital Authority EHR) using R/STATA/SAS and conducting cost-effectiveness analyses. Applicants must have a track record in securing competitive grants as principal investigators, managing IRB processes, patient recruitment, and media engagement through press releases. Exceptional bilingual communication skills (English/Chinese) and the ability to lead multidisciplinary collaborations are required. Those with significant post-doctoral experience and outstanding publications may be appointed as RAP. The appointee will spearhead the development of interactive AI clinical decision support systems that translate LLM outputs into clinical management tools. This role involves designing and executing large-scale epidemiological studies using EHR data, overseeing clinical data annotation/processing from public and Hospital Authority sources, and leading patient recruitment/follow-up initiatives. Academic responsibilities include disseminating findings via publications and conferences, preparing IRB applications, drafting press releases, and driving grant applications from ideation to submission. The appointee is also expected to supervise research staff, manage project alignment, and undertake administrative duties as assigned. Enquiries about the duties of the post should be sent to Ms Audrey Ho at audreyh@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary for RAP. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start on June 19, 2025, and continue until September 4, 2025 , or until the post is filled, whichever is earlier. Advertised: Jun 5, 2025 (HK Time) Applications close: Sep 4, 2025 (HK Time) Back to search results Apply now Whatsapp Facebook LinkedIn Email App

Senior Developer with strong analytical and technical ability with over 7+ years of experience in enterprise Web applications, REST services and Workflow Processing Service development using Java/J2EE technologies. Experienced in working on medium to large enterprise projects, preferably in financial services Knowledge/Experience: Should have strong insight on OOPS concept and good hands on experience on Java (11+) and other java based frameworks like Spring Batch, Spring IOC, Spring Annotation, Spring Security. Should have hands on experience on messaging platform like Kafka. Should be comfortable with working on Oracle (PL/SQL) and/or NoSQL-Mongo as backend database. Good working knowledge of Docker, Kubernetes and OpenShift Should have strong knowledge of Java design patterns , microservice design patterns, event streams, event/message based architecture, Domain driven design etc. Should have strong knowledge of API based architecture and SOA. Expertise in Server less, tomcat (Embedded/Non-Embedded), jetty (Embedded/Non-Embedded), WebSphere , Spring Batch, Spring IOC, Spring Annotation, Spring Security Expertise in mocking, Junit and perf testing of solutions. Good working knowledge of in memory distributed caches (Hazelcast, Gemfire) is good to have. Person should have worked in Agile/DevOps Environment. Good to have skills: Financial markets background is preferable but is not a must Knowledge of testing concepts (TDD, BDD) is a plus. Knowledge of ELK/App Dynamics Knowledge of other programming languages like Vaadin (UI Framework), Kotlin, scala, shell scripting etc is good to have. Candidates with knowledge on webserver setup and configuration with reverse proxy/ssl setup etc (preferred nginx webserver) is a plus Qualifications: Bachelor’s degree (in science, computers, information technology or engineering) Candidate should be willing to work late in the evening India time on need basis in order to interact with US/other global teams Job Background: The position is based in India and is required to focus on delivery of the work, ensuring a robust design This role may report to the technology team lead based in Pune Candidate should be able to work independently and should be self-motivated Candidate might be required to work with vendors or third parties in joint delivery teams The role requires application of technical skills and knowledge of the business to develop solutions to meet business needs As part of large, geographically distributed team(s), the candidate may have to manage stakeholders across multiple functional areas The position requires analytical skills in order to filter, prioritize and validate potentially complex material, technical or business or otherwise, from multiple sources. The candidate will work with complex and variable issues with substantial potential impact, weighing various alternatives and balancing potentially conflicting needs. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Sigma.AI is a world leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. Urdu speakers are needed for voice recording project. This project will have a short duration. This is a flexible task that is to be completed through an online application, available 24/7. Requirements Native level of speaking and listening in Urdu. Intermediate level of English or Spanish. Computer skills at user level. It is necessary to have the Android operating system mobile to carry out this project. The Following Will Be Valued Experience in rating or data annotation. Attention to detail. Sigma AI does not hire through third parties. NOTE: The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the proofs submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

Requirements Description and Requirements Audit & Compliance Management: Lead SOC2, ISO 27001, AI Risk Assessment, and other audits end-to-end. Act as the single POC for the global audit team, handling documentation, evidence collection, and compliance reports. Oversee penetration and vulnerability testing, ensuring timely remediation. Monitor compliance across applications, cloud services, and third-party tools. Collaborate with legal, IT, engineering, and product teams to fulfill audit requirements. Establish efficient processes to reduce tech team bandwidth usage while ensuring compliance. Attend meetings in different timezones to understand audit requirements, clear doubts for the team and the auditor, implement processes, analyze requirements and provide solutions, weekly catchups, etc. Work on documentations needed by the compliance team from scratch by going through the reference documentation, collaborating with different stakeholders to understand the present flow and its limitations and bringing up a process which suits the team and also meets the audit needs. Process Automation & Optimization: Identify manual audit tasks and implement automation solutions. Automate compliance documentation, audit tracking, and security approvals. Ensure compliance processes scale as applications and audits increase. Governance & Risk Mitigation: Implement data retention, change management, and access control policies. Collaborate with security, privacy, and compliance teams to onboard new processes. Conduct periodic risk assessments and implement mitigation strategies. Application Portfolio Management (APM) Onboarding: Get onboarded and access applications based on value, performance, cost, and alignment with business goals as per the APM guidelines with respect to privacy, compliance and cyber security. Take ownership of the APM process and its onboarding for the tech team and the new and old application used. Additional Job Description Educational & Professional Qualifications: Bachelor’s degree in Computer Science, Information Security, Cybersecurity, or a related field (B.Tech/B.E. preferred). Certifications (Preferred but not mandatory): CISA, CISM, CISSP, ISO 27001 Lead Auditor/Implementer, or SOC2-related certifications. Technical Skills & Knowledge: Audit & Compliance Expertise: Strong understanding of SOC2, ISO 27001, AI Risk Assessment, GDPR, and other compliance frameworks. Experience managing end-to-end audits, documentation, and compliance reports. Ability to collaborate with auditors, security teams, and global stakeholders. Security & Risk Management: Hands-on experience with penetration testing, vulnerability assessment, and remediation tracking. Familiarity with cloud security compliance (AWS, GCP, Azure). Knowledge of data retention policies, access control, and risk assessment methodologies. Process & Automation: Experience in automating audit workflows, compliance tracking, and documentation. Strong understanding of APM (Application Portfolio Management) and security best practices. Soft Skills: Excellent communication skills to work with cross-functional teams and explain security compliance concepts to non-technical stakeholders. Ability to handle multiple audits simultaneously, ensuring deadlines are met. Problem-solving mindset to enhance security processes while optimizing team bandwidth. Other Requirements: Willingness to work across global time zones for audit coordination. Strong analytical skills to interpret security policies, create documentation, and drive compliance initiatives. This role is ideal for someone who has a blend of security, compliance, and automation expertise, ensuring the organization meets audit and regulatory requirements efficiently. EEO Statement TELUS Digital (TD) Experience partners with the world’s most innovative brands, from tech startups to industry leaders in fintech, gaming, healthcare, and more. We empower businesses to scale and redefine possibilities with integrated customer experience and cutting-edge digital solutions. Backed by TELUS, our multi-billion-dollar parent company, we offer scalable, multi-language, and multi-shore capabilities. Our expertise spans digital transformation, AI-driven consulting, IT lifecycle management, and more – delivered with secure infrastructure, value-driven pricing, and exceptional service. AI Data Solutions: Shaping the Future of AI For nearly two decades, Telus Digital AI Data Solutions has been a global leader in providing premium data services for the ever-evolving AI ecosystem. From machine learning to computer vision and Generative AI (GenAI), we empower the next generation of AI-powered experiences with high-quality data and human intelligence to test, train and improve AI models. Backed by a community of over one million contributors and proprietary AI-driven tools, we deliver solutions designed to cover the training data needs of every project. From custom data collection to advanced data annotation and fine-tuning, our purpose-built tools deliver multimodal data for AI training projects of any complexity – from experimental pilots to ambitious large-scale programs. Examples include empowering GenAI models with human-aligned datasets and fine-tuning data across 20+ domains and 100+ languages, enabling autonomous driving and advancing extended reality applications with industry-leading data labeling.

Data Scientist Experience range: 3+ years Location: CloudLex Pune Office (In-person, Monday to Friday, 9:30 AM – 6:30 PM) Responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Required Skills & Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field analyticsvidhya.com (or equivalent practical experience). A strong foundation in algorithms, statistics, and software engineering is expected. Programming proficiency: Expert-level skills in Python coursera.org , with hands-on experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) analyticsvidhya.com . Comfortable writing production-quality code and using version control, testing, and code review workflows. Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models analyticsvidhya.com . Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) analyticsvidhya.comanalyticsvidhya.com . Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms gyliu513.medium.com . Knowledge of agent communication standards (e.g., MCP/Agent Protocol) gyliu513.medium.comblog.langchain.dev to enable interoperability between AI agents. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. Proficiency in retrieval-augmented generation (RAG) setups, vector databases, and prompt engineering analyticsvidhya.com . Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) for managing end-to-end automation and scalable workflows analyticsvidhya.com . Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices. Soft skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills to collaborate across data, engineering, and business teams. Attention to detail and a quality-oriented mindset. (See Ideal Candidate below for more on personal attributes.) Ideal Candidate Innovative, problem-solver: You are a creative thinker who enjoys tackling open-ended challenges. You have a solutions-oriented mindset and proactively experiment with new ideas and techniques analyticsvidhya.com . Systems thinker: You understand how different components (data, models, services) fit together in a large system. You can architect end-to-end AI solutions with attention to reliability, scalability, and integration points. Collaborative communicator: You work effectively in multidisciplinary teams. You are able to explain complex technical concepts to non-technical stakeholders and incorporate feedback. You value knowledge sharing and mentorship. Adaptable learner: The generative AI landscape evolves rapidly. You are passionate about staying current with the latest research and tools. You embrace continuous learning and are eager to upskill and try new libraries or platforms analyticsvidhya.com . Ethical and conscientious: You care about the real-world impact of AI systems. You take responsibility for the quality and fairness of models, and proactively address concerns like data privacy, bias, and security.

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description As a Design Associate, you will be required to understand the Clients's KWS requirement and specs from the Designer over a call or F2F briefing / meetings. You will need to understand all KWS modules and technical specs in Livspace KWS category. Prepare plan, Wall to Wall elevation with complete detailing on AutoCAD for Kitchen, Wardrobe and Storages. Prepare all EPT and Granite detailings for Kitchen, Wardrobe and Storages. Prepare the KWS BOQ on Livspace Design tool [ CANVAS ] Prepare coordinated KWS design docket wrt the BOQ with correct annotation and detailing. Should use a standard drawing template as specified by the Central Team. Should be able to understand the changes / errors pointed out by the Validation Team and incorporate the same in the Design docket. Should adhere to the SLA and the Quality standards of the output. Attend the Trainings for the new module introduced by the Category Team and keep yourselves updated. Job Requirement Strong AutoCAD skills are a must. Diploma / Degree in Architecture or Interior Design [ will be an added advantage ] Experience 1 to 6 years Previous experience as a Kitchen Designer or Design Associate or in a similar role. Must be a quick learner. Attention to detail with great team player skills.

Job Title: AI Image Processing Specialist Location: Remote /Jaipur Job Type: Full-time / Contract Experience: 3+ years in computer vision, with medical imaging a plus Job Summary We are seeking a highly skilled and detail-oriented AI Image Processing Specialist to join our team, with a strong focus on medical imaging , computer vision , and deep learning . In this role, you will be responsible for developing and optimizing scalable image processing pipelines tailored for diagnostic, radiological, and clinical applications. Your work will directly contribute to advancing AI capabilities in healthcare by enabling accurate, efficient, and compliant medical data analysis. You will collaborate with data scientists, software engineers, and healthcare professionals to build cutting-edge AI solutions with real-world impact. Key Responsibilities Design, develop, and maintain robust image preprocessing pipelines to handle various medical imaging formats such as DICOM, NIfTI, and JPEG2000. Build automated, containerized, and scalable computer vision workflows suitable for high-throughput medical imaging analysis. Implement and fine-tune models for core vision tasks, including image segmentation, classification, object detection, and landmark detection using deep learning techniques. Ensure that all data handling, processing, and model training pipelines adhere to regulatory guidelines such as HIPAA, GDPR, and FDA/CE requirements. Optimize performance across pipeline stages — including data augmentation, normalization, contrast adjustment, and image registration — to ensure consistent model accuracy. Integrate annotation workflows using tools such as CVAT, Labelbox, or SuperAnnotate and implement strategies for active learning and semi-supervised annotation. Manage reproducibility and version control across datasets and model artifacts using tools like DVC, MLFlow, and Airflow. Required Skills Strong experience with Python and image processing libraries such as OpenCV, scikit-image, and SimpleITK. Proficiency in deep learning frameworks like TensorFlow or PyTorch, including experience with model architectures like U-Net, ResNet, or YOLO adapted for medical applications. Deep understanding of medical imaging formats, preprocessing techniques (e.g., windowing, denoising, bias field correction), and challenges specific to healthcare datasets. Experience working with computer vision tasks such as semantic segmentation, instance segmentation, object localization, and detection. Familiarity with annotation platforms, data curation workflows, and techniques for managing large annotated datasets. Experience with pipeline orchestration, containerization (Docker), and reproducibility tools such as Airflow, DVC, or MLFlow. Preferred Qualifications Experience with domain-specific imaging datasets in radiology, pathology, dermatology, or ophthalmology. Understanding of clinical compliance frameworks such as FDA clearance for software as a medical device (SaMD) or CE marking in the EU. Exposure to multi-modal data fusion, combining imaging with EHR, genomics, or lab data for holistic model development. Experience with pipeline orchestration, containerization (Docker), and reproducibility tools such as Airflow, DVC, or MLFlow. Ensure that all data handling, processing, and model training pipelines adhere to regulatory guidelines such as HIPAA, GDPR, and FDA/CE requirements. Why Join Us Be part of a forward-thinking team shaping the future of AI in healthcare. You’ll work on impactful projects that improve patient outcomes, streamline diagnostics, and enhance clinical decision-making. We offer a collaborative environment, opportunities for innovation, and a chance to work at the cutting edge of AI-driven healthcare. Skills: docker,u-net,mlflow,containerization,image segmentation,simpleitk,yolo,image processing,computer vision,medical imaging,object detection,tensorflow,opencv,pytorch,image preprocessing,resnet,python,dvc,airflow,scikit-image,annotation workflows

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FIORI/Gateway architecture Good to have skills : SAP UI5 DevelopmentMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Ensure successful project delivery-Working on development requests/project independently - Client facing resource Should connect with Functional/client team and understand the requirements - Work on technical design / development and Prepare unit test document Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FIORI/Gateway architecture- Good To Have Skills: Experience with SAP UI5 Development- Strong understanding of SAP FIORI/Gateway architecture- Experience in designing and configuring applications using SAP technologies- Knowledge of SAP Fiori UX design principles-Experience in Design, develop, integrate, implement, and test custom SAP UI5 applications that satisfy business needs-Experience in building Custom app development using UI5 , JavaScript , HTML5 , CSS3 and MVC frameworks on SAP BAS.-Expertise in SAP UI5, SAP Fiori , Fiori elements, ODATA, CDS Views, Annotations, SAP BTP Clound Foundry, SAP BAS, GIT-Basic understanding of ABAP RESTful Application Programming Model , good to have-Proficient in gathering requirements, developing Technical Design and delivering innovativesolutions in a timely manner with immense return on investment. Additional Information:- The candidate should have a minimum of 5 years of experience in SAP FIORI/Gateway architecture- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Job Description: The Senior Manager of Talent Acquisition and Workforce will be responsible for leading and executing talent acquisition (APAC) strategies to ensure the organization attracts, engages, and hires top talent worldwide. This role will focus on building strong talent pipelines, optimizing recruitment processes, and ensuring alignment with the company's overall business goals and workforce strategy. The Senior Manager will work closely with senior leadership, hiring managers, and HR teams to meet both current and future workforce needs across markets. Key Responsibilities:  Strategic Leadership: Lead the development and execution of a comprehensive talent acquisition strategy that aligns with the company's business objectives and workforce planning needs.  Talent Pipeline Development: Build and maintain a robust talent pipeline, ensuring a continuous flow of high-quality candidates for critical roles across all regions.  Recruitment Process Optimization: Oversee and continuously improve recruitment processes, including candidate sourcing, selection, interviewing, and hiring. Implement best practices and industry standards to enhance efficiency, reduce time-to-fill, and increase candidate satisfaction.  Team Leadership & Development: Manage and mentor a high-performing, diverse team of recruiters across multiple geographies. Provide guidance, training, and performance feedback to ensure professional growth and alignment with team goals.  Collaboration with Senior Leaders: Partner with senior leadership to understand the organizations talent needs, business priorities, and long-term workforce planning. Provide expertise in workforce strategies to drive business success.  Workforce Planning: Collaborate with HR and business leaders to design and implement workforce planning strategies that anticipate current and future talent needs, focusing on both short-term and long-term hiring goals.  Employer Branding: Champion the company's employer brand across all markets. Develop and implement strategies that promote the company as an employer of choice, leveraging both traditional and digital channels to reach top talent.  Data-Driven Decision Making: Utilize analytics and reporting tools to track recruitment metrics and assess the effectiveness of talent acquisition strategies. Provide insights and recommendations to senior management based on data analysis.  Compliance & Diversity: Ensure all recruitment practices comply with local laws and regulations, as well as internal policies. Drive diversity, equity, and inclusion (DEI) initiatives through targeted recruiting strategies.  Vendor & Stakeholder Management: Manage relationships with third-party recruitment agencies, job boards, and other vendors. Negotiate contracts and ensure services are delivered according to agreed-upon standards.  Continuous Improvement: Stay informed on labor market trends, emerging recruitment technologies, and best practices to keep the talent acquisition strategy at the forefront of industry developments. Qualifications & Requirements:  Education: Bachelor’s degree in Human Resources, Business Administration, or related field. Master’s degree preferred.  Experience: Minimum of 10-13 years of experience in talent acquisition, with at least 3-5 years in a leading a team.  Proven hand on experience in managing recruitment efforts across multiple regions and markets.  Strong expertise in building and executing recruitment strategies for diverse job functions, including technical, corporate, and leadership roles. Skills:  Strong leadership and people management skills with the ability to influence and collaborate effectively across functions.  Deep understanding of recruitment technologies, applicant tracking systems (ATS), and talent acquisition tools.  Experience with workforce planning, data analytics, and performance metrics to drive talent acquisition outcomes.  Excellent communication, negotiation, and interpersonal skills.  Knowledge of labor laws, employment practices, and compliance regulations.  Experience in driving diversity and inclusion initiatives within talent acquisition. Preferred:  Experience with implementing and optimizing recruitment strategies.  Experience working in multilingual environments. Key Competencies:  Leadership: Ability to lead and inspire a team, fostering a collaborative and high-performance culture.  Strategic Thinking: Ability to develop long-term strategies and execute them effectively to meet the organization’s talent needs.  Problem Solving: Strong analytical and problem-solving skills to overcome recruitment challenges and meet hiring goals.  Agility: Ability to manage multiple priorities in a fast-paced, environment.  Adaptability: Flexible and responsive to changes in market conditions and business priorities. Why Join Us? At iMerit, we are committed to building an inclusive, diverse, and innovative workforce. As the Senior Manager of Talent Acquisition and Workforce, you will have the opportunity to shape the future of our team and contribute to the company’s growth and success on an international scale. About Company: iMerit is a global leader in delivering high-quality data and AI solutions. Headquartered in Kolkata, India, with operations across multiple global locations, our mission is to create an inclusive workforce while enabling businesses to achieve excellence through data enrichment and AI capabilities. Our diverse team of over 7,000 professionals specializes in:  AI Data Solutions: Enhancing algorithms through precise data annotation and enrichment.  Generative AI : Providing innovative solutions for AI model optimization.  Geospatial and Lidar Services: Supporting industries such as autonomous vehicles, drones, and mapping technologies.  Healthcare Data Processing: Assisting medical AI solutions with accurate annotations by qualified professionals.  Multilingual Capabilities: Offering services across Indic and foreign languages, positioning us as the preferred partner for global AI enterprises. We deliver data annotation, classification, and content moderation solutions that power the AI, Machine Learning, and data operations strategies of some of the worlds leading AI organizations. Our work supports clients at every stage, from exploratory R&D to proof of concept to mission-critical, production-ready solutions. Leveraging advanced tools, machine learning algorithms, and best-in-class workflows, we enrich, annotate, and label large volumes of unstructured data to unlock hidden value. Our human-empowered computing model combines technology to optimize throughput with our managed workforces deep expertise to ensure accuracy. Our delivery centers in India, Bhutan, and the US specialize in Computer Vision, Natural Language Processing, and Content Services, supporting industries such as Autonomous Vehicles, Medical AI, Finance, Geospatial Technologies, and more. At iMerit, diversity and inclusion are at the core of our operations .In 2022, iMerit was awarded the prestigious Great Place to Work certification for the second year in a row. The certification is recognized by employees and employers around the globe as the Gold Standard for workplace excellence. This recognition reiterates the company's commitment to creating an inclusive work culture where employees can grow as technology professionals and achieve their goals. In iMerit gender equality is not a business metaphor but being put in practice in its true sense. Our Women in Tech, making up over 50% of the company, are thriving and contributing to the development of cutting-edge AI technologies in different industries. Learn more about us at iMerit Website and watch our journey on YouTube.

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 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!

About Appen Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video. Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together. At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We’re looking for a passionate and skilled Learning & Organizational Development Specialist to help shape and deliver impactful learning and OD initiatives that elevate leadership, embed culture, and drive performance. You’ll work across teams to design engaging content, facilitate sessions, and support change efforts that build capability and organizational effectiveness. Key Responsibilities Learning Design & Delivery Design, develop, and curate high-impact learning experiences (digital, in-person, hybrid) aligned to business and people priorities. Facilitate workshops, learning labs, and development programs, with a focus on leadership, culture, and core skills. Use instructional design and adult learning principles to craft engaging and inclusive content. Organizational Development Support OD interventions such as culture shaping, leadership model rollout, capability frameworks, change programs, and team effectiveness. Use diagnostic tools (focus groups, interviews, surveys) to assess needs and design appropriate solutions. Contribute to talent development programs including career pathways, succession planning, and high-potential development. Learning Operations and Analytics Manage the Learning Management System (LMS) – including content upload, user enrolment, tracking and user support. Monitor and report on learning metrics (attendance, completion, feedback etc.) Track and evaluate training effectiveness and impact. Maintain accurate learning records and dashboards Stakeholder Engagement & Project Management Partner with HRBPs, business leaders, and SMEs to co-create relevant learning and OD solutions. Manage multiple projects simultaneously, ensuring timelines, quality, and impact are delivered. Monitor, evaluate, and report on effectiveness of programs using qualitative and quantitative metrics Required Skills & Experience (Mandatory) 6–8 years’ experience in Learning & Development or Organisational Development roles. Demonstrated experience in: Designing and delivering engaging learning content and programs. Facilitating group sessions, including virtual and in-person. Supporting OD interventions such as competency frameworks, culture work, or team development. Knowledge of adult learning theory, design models, and facilitation techniques. Excellent communication and stakeholder engagement skills. Proficiency with digital learning tools and platforms (e.g. LMS like Articulate, Work Ramp, Absorb or similar, MS Teams). Bachelor’s or post graduate degree in HR, Psychology, Education, or related field from top tier institute. Desirable Skills & Experience (Optional but Preferred) Certification in coaching, psychometrics (e.g. MBTI, DISC, Hogan), or change management (e.g. PROSCI). Experience in agile learning design or using design thinking in L&D. Background in behavioral science, organizational psychology, or talent development. Experience working in fast-paced, global environments. What We Offer Opportunity to shape culture and leadership at an enterprise level. Collaborative, purpose-driven team environment. Access to modern tools, platforms, and methodologies. Ongoing learning, development, and career progression. Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.

You’re passionate about supporting others to achieve the highest level of service in every interaction. You’re a role model and leader who advocates for their team. You’re invested in your work relationships and hold yourself and your team to a high standard of accountability. You’re naturally curious and gravitate towards tools and resources that enrich your team. If you are ready to inspire and lead, join Apple and help us leave the world better than we found it! Are you interested in being part of a team that continues to innovate the way people and machines interact? The launch of Siri was a defining moment in the history of Artificial Intelligence. Siri offers a faster, easier way to get things done on your Apple devices, even before you ask. Millions of people now use Siri to send a message, play their favorite song or even take a selfie. As the AIML Data Operations Team Lead, you will focus on leading a team of Annotation Analysts. You will be responsible for the team’s operational success, mentoring their career growth, and collaborating cross-functionally with other internal teams. Description As an AIML Data Operations Team Lead, you’ll be responsible for providing daily leadership and promoting the development of 25-30 Annotation Analyst team members. You are self-motivated, friendly and have a passion to support your team’s development through critical and creative thinking. You’ll identify, promote, and implement innovative ideas to meet and exceed performance and quality goals set by leadership. You will support employees’ success through establishing relationships and seeking to understand what motivates individuals. You will oversee performance management, ensuring daily, monthly, quarterly operational metrics are met. You’ll effectively execute on management and administrative tasks such as leading staff meetings, conducting regular one-on-one’s, hiring, training, and development of employee performance. You will drive operational improvements, team collaboration, and recommend innovative solutions to business challenges. You’ll establish clear and effective working relationships and communication channels with internal partners. This position comes with competitive pay, great benefits, eligibility to participate in our company stock plan, time off, an employee discount, and dedicated resources to support your ongoing growth and career development. Minimum Qualifications Minimum 2 years experience in a people management capacity in a large or multi-site inbound contact center or similar dynamic environment supervising 20-30 employees Experience leading in a professional environment Knowledge of contact centre management tools, processes, procedures, and performance metrics, and can innovate and improve as needed Excellent influencing skills and ability to work with key business partners Priorities coaching needs and experienced in developing employees to achieve optimal results Able to develop coaching plans that incorporate observations and key performance trends Leads a standard for high-quality work by consistently meeting and exceeding performance goals Strong and effective written and verbal interpersonal skills with the ability to tailor your message to your audience Solution oriented leader who demonstrates creativity and curiosity Ability to thrive in a dynamic and ambiguous environment Preferred Qualifications Experience in the field of AIML- Data Annotations Project Management Quality Management Systems Data Analysis Submit CV

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 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!

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 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!

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 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!

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 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!

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 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!

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 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!

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 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!

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 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!