An application made for this job — a tailored resume and cover letter that speak straight to the posting.
DataAnnotation seeks contributors to vibe-code with frontier models, fix real bugs, extend APIs, and ship features while observing how far the model can operate independently.
You will analyze the AI's outputs against production standards, document failures, and rate the model’s reasoning. You’ll red-team to expose unsafe code, false test passes, and risky conclusions before real users encounter them.
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.