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DataAnnotation is seeking contributors to vibe-code with frontier models on real engineering tasks. You will run sessions, analyze the AI's outputs against production standards, and document failures to improve subsequent iterations.
As a contributor, you’ll help expose unsafe code, identify fake test passes, and highlight confidently wrong solutions before they reach real users. 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 $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.