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DataAnnotation is seeking a contributor to run agentic coding sessions on real engineering tasks, analyze model outputs, and red-team them to expose failures before real users. You’ll document findings and help improve future coding agents.
Applicants should have professional or serious open-source experience shipping production code and clear written English. No degree required; what you can do matters more than where you learned it. Remote, flexible, project-based work.
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 $150+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k 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.