1234 open jobs
Open roles in AI training, model evaluation, RLHF and data labeling for domain experts. Search, filter, then apply directly on Mercor, micro1, Turing, Ethos, Mindrift, DataAnnotation, Alignerr, Handshake AI, Surge AI, xAI, Vetto or Terac.
This remote contract role asks senior full-stack engineers to assess AI-generated code across frontend and backend, judging correctness, quality, and security. It also involves building internal tooling for data annotation and reviewing system designs. It suits experienced engineers who can give precise written feedback that helps AI models write better code.
This remote contract role involves reviewing transcripts of AI-assisted healthcare phone calls held in Central American Spanish. Labelers judge how the AI confirms patient details, handles health concerns and poor audio, and explains scheduling and next steps. It suits native or near-native Spanish speakers with basic healthcare knowledge who can follow detailed guidelines.
This contract role involves labeling and checking clinical and medical research datasets so they can train medical AI systems. It suits people with a healthcare, clinical research, or life sciences background who can apply detailed annotation guidelines consistently and document their reasoning on ambiguous cases.
This remote contract role asks you to listen to recorded Japanese speech and turn it into accurate, detailed transcripts. The transcripts will be used to teach AI speech recognition systems to handle natural conversation, different accents, and real-world audio. It suits native or near-native Japanese speakers who are careful, patient, and comfortable working alone on their own schedule.
This fully remote contract role is for a senior Python engineer who builds and optimizes the data pipelines, annotation tools and evaluation systems that AI labs use to train and benchmark their models. The work is hands-on with production systems and close collaboration with research and engineering teams. It suits backend engineers with deep Python and full-stack experience who want to lead technical decisions in AI infrastructure.
This remote contract role puts a native Marathi speaker in charge of a team of labelers and reviewers working on audio transcription for AI training. The expert provides linguistic guidance, audits work for accuracy and consistency, and keeps the team aligned on project guidelines.
This contract role asks a physics specialist to label and organize physics material used to train AI models. The work includes reviewing AI-generated solutions to physics problems and helping build training datasets across topics and difficulty levels. It suits candidates with research, teaching or applied problem-solving experience in physics.
This role leads a team of labelers and reviewers on a Polish audio transcription project for AI training. The work centers on setting linguistic standards, answering guideline questions, and auditing output to keep transcription quality consistent. It suits native Polish speakers with strong language judgment and some experience guiding or coordinating other annotators.
This contract role puts a native Polish speaker in charge of linguistic quality for an AI audio transcription project. The expert guides a team of labelers and reviewers, answers guideline questions, and keeps transcription output consistent. It suits people with strong Polish language skills who also have experience coaching or leading annotation teams.
This remote contract leads a team of Polish labelers and reviewers on an audio transcription project that trains AI to understand spoken language. It is aimed at a native Polish speaker with linguistic judgment and experience guiding a team toward consistent, high-quality output.
This contract role centers on building the Python infrastructure that AI labs use to prepare and assess training data, including data pipelines, annotation tools and evaluation systems. It is aimed at senior engineers with deep production Python experience who can design distributed systems and lead architecture decisions.
This contract role centers on building and tuning high-performance Rust systems that support AI model development, including data pipelines, annotation tooling and evaluation infrastructure. It is aimed at senior engineers with deep Rust expertise who want to work fully remotely alongside research and engineering teams.
This remote contract role asks a senior C++ engineer to design, build and tune high-performance systems that feed data pipelines and evaluation workflows for AI model development. The work also covers annotation tooling, backend services and quality control, with frequent collaboration with data, research and engineering teams. It is aimed at experienced systems engineers who want their code to support frontier AI training at scale.
This contract role centers on building Python systems that power data pipelines, evaluation harnesses and annotation tooling for AI model development. It suits senior Python engineers who can work remotely on part-time hourly engagements alongside research and engineering teams.
This contract role involves building and tuning Python systems that feed data pipelines, annotation tools and model evaluation workflows for AI teams. It suits senior engineers who can work full-stack and backend, with a strong focus on reliability and clean, well-tested code.
This contract role centres on designing, building and tuning high-performance Rust systems that support AI data pipelines, evaluation workflows and annotation tooling. It suits senior Rust engineers who write safe, performant and correct code at scale and can work independently in an asynchronous setting. The resulting infrastructure feeds model training and evaluation work for research teams.
This contract role calls for a senior C engineer to build and tune the data pipelines, annotation tools and evaluation systems used to train AI models. The work is fully remote with flexible hours of 20 to 40 hours a week, and it suits engineers with long experience in scalable backend services.
This contract role centers on building and improving the Python data pipelines, annotation tools and evaluation systems used to train AI models. It is aimed at a senior engineer with at least five years of production Python experience and a strong full-stack and systems background, working remotely at 20 to 40 hours per week.
This contract role centers on building and tuning high-performance Rust systems that power AI data pipelines, annotation tools, and model evaluation workflows. It suits senior engineers with at least five years of production Rust experience who care about performance, concurrency, and correctness in large-scale systems.
This contract role is for senior engineers who build the backend systems behind AI model development. The work covers high-performance pipelines, annotation tooling, and evaluation infrastructure that support model training and benchmarking. It is aimed at engineers with several years of production experience in Go, Rust, Python, or C++ who are fully remote and available 20 to 40 hours per week.
FAQ
AI training, model evaluation, RLHF, red teaming, data labeling and expert review roles, in fields from software and data science to medicine, law, finance, languages and science.
They are done online. Some are limited to residents of certain countries: when the platform publishes that restriction, the listing shows it.
Usually not. Most roles ask for professional experience in your own field. Each listing states the experience the platform requires.
By the hour or by the task, by the platform that hires you. We show the pay only when the platform publishes it. It is not a guarantee of income or hours.
Apply now opens the official posting on Mercor, micro1, Turing, Ethos, Mindrift, DataAnnotation, Alignerr, Handshake AI, Surge AI, xAI, Vetto or Terac, where you complete the application. You need no account here. See how it works.
