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DataAnnotation is seeking contributors to run agentic coding sessions, analyze model outputs, and document failures to teach the next generation of coding agents. You will vibe-code on real tasks, fix bugs, extend APIs, and evaluate how far models can go on their own.
We value professional or serious open‑source experience shipping production code, clear written English, and a stance that no degree is required. This is a flexible remote role with high project availability.
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.