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DataAnnotation is where 100k+ experts train the world’s leading AI models. The role invites you to run agentic coding sessions on real engineering tasks, fix bugs, extend APIs, ship features, and evaluate how far the model progresses on its own.
You’ll document failures, explain reasoning, and contribute to safer, more reliable AI. Flexible, remote, project-based work with compensation up to $150+ per hour, and potential annual earnings for top contributors.
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.