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 role involves reviewing AI-generated content to identify and flag bias, safety issues, and ethical concerns that could affect global audiences. Reviewers apply fairness and safety guidelines to ensure AI systems are responsible and trustworthy, providing structured written feedback on diverse content types.
This role involves designing and building server-side systems, APIs, and data pipelines for AI infrastructure. Back end developers will optimize scalable microservices and databases to support AI training and inference workloads on a remote, flexible contract basis.
This role involves evaluating and providing feedback on AI-generated Rust code to help improve AI systems' understanding of systems-level programming. You will review code for correctness, memory safety, and performance, working independently on a flexible remote contract basis.
This role involves reviewing and evaluating AI-generated Rust code to ensure correctness, memory safety, and systems-level performance. Experienced Rust engineers will assess the quality of AI outputs, design challenging problems to test AI understanding, and provide structured feedback to improve how AI models reason about systems programming.
This role involves building and optimizing high-performance backend systems and tooling in Rust to support AI data pipelines, annotation workflows, and evaluation systems. You will work on production infrastructure that powers advanced AI model training, collaborating with research and engineering teams on scalable solutions.
Review and evaluate AI-generated Rust code for correctness, memory safety, and idiomatic practices. Create high-quality coding problems and provide structured feedback to improve AI model performance. This role is ideal for experienced Rust developers who want to shape how AI systems understand systems programming.
This role involves evaluating and stress-testing AI-generated cybersecurity content to ensure accuracy and safety. Cybersecurity Defence Analysts review threat analyses, incident response plans, and defensive recommendations while identifying errors and dangerous hallucinations, helping ensure AI systems provide trustworthy security guidance.
Design and build high-performance Rust systems for AI data infrastructure, including data pipelines, annotation tooling, and evaluation systems that support large-scale AI research. This is a fully remote contract role for senior engineers with deep expertise in systems optimization and concurrent programming.
This is a backend engineering role focused on building and optimizing server-side infrastructure for AI systems. The position involves designing scalable APIs, data pipelines, and microservices that power machine learning and AI products, working remotely on a flexible hourly contract basis.
This is a contract role for back end developers to design, build, and optimize server-side systems and APIs that power AI infrastructure, including data pipelines and model-serving infrastructure. The position is fully remote and flexible, targeting engineers in Brazil who want to work on scalable, high-performance systems supporting AI training and inference workloads.
This remote contract role asks experienced full-stack developers to review and evaluate code and system designs produced by AI models. The work also includes building tooling for data annotation and quality control, done asynchronously on a flexible schedule. It suits engineers with several years of production experience who can give precise technical feedback.
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 is a remote contract role for a senior Rust engineer who will design, optimize, and lead the backend systems behind AI data pipelines and model evaluation workflows. The work involves reliability, performance, and safety of production codebases, and suits experienced systems engineers who can also lead architecture discussions with research and engineering teams.
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 experienced Rust engineers to review and critique AI-generated systems code, focusing on memory safety, concurrency, and performance. The work also includes building tooling and backend services for large-scale data validation. It suits seasoned Rust developers who want flexible, task-based work on their own schedule.
This remote contract role asks senior Rust engineers to review and evaluate Rust code generated by AI models, checking memory safety, concurrency correctness and performance. Engineers also build high-performance tooling and backend services for large-scale data validation. It is aimed at experienced systems programmers who want self-directed technical work.
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 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 is a remote, hourly contract role for senior software engineers who will help build, test and improve autonomous AI coding agents. The work centers on judging whether AI-written code is correct, efficient, secure and well designed, and on finding where these agents fail. It suits experienced engineers who can read unfamiliar codebases and explain clearly why code works or breaks.
This contract role asks a senior software engineer to build and scale the backend infrastructure behind AI products, working closely with machine learning engineers and researchers. It suits experienced engineers who can work independently on production-grade services, data pipelines, and APIs.
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.
