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DataAnnotation seeks contributors to validate and improve AI code through hands-on testing and analysis. You’ll run vibe-coding sessions on real tasks, review model outputs, and push back with clear explanations of failures.
We value production-ready coding experience, strong written English, and a track record in open-source projects. No formal degree required; remote work is normal and project-based opportunities abound.
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.