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DataAnnotation is seeking contributors to evaluate and validate AI-model code through hands-on coding sessions. You will analyze model outputs, identify bugs, and document failures to drive improvements in future agents.
Join a flexible, remote team while you work on real engineering tasks, explain your reasoning clearly, and help push the boundaries of autonomous coding systems.
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 $150+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k 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.