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DataAnnotation is hiring to run agentic coding sessions, analyze model outputs, and document failures to train next-gen coding agents. You will encounter real engineering tasks, fix bugs, extend APIs, and assess model reasoning against production standards.
We value open-source production code, clear English explanations, and don’t require a degree. This is a remote, project-based role with compensation reflecting task difficulty and specialization.
The newest models can vibe-code a whole feature in minutes. Someone has to check whether that code actually works, and that someone is you.
You'll run agentic coding sessions on real engineering tasks, analyze what the models produce, and red-team them until they fail in interesting ways. Every failure you document teaches the next generation of coding agents.
Up to $40 – $150+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.
DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.