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DataAnnotation is seeking contributors to vibe-code with frontier models on real tasks, fixing bugs, extending APIs, and shipping features while observing how far the models progress autonomously.
You will analyze the AI's outputs against production standards, identify bugs, explain failures, and rate the model's reasoning. This role also involves red-teaming to expose unsafe code and flawed tests before users encounter issues.
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.