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DataAnnotation is seeking a role focused on critiquing and improving AI-augmented coding. You will run agentic coding sessions on real engineering tasks, analyze model outputs, and document failures to guide next-generation coding agents.
The work emphasizes clear English explanations and hands-on production-style evaluation. Compensation ranges from $40–$150+ per hour, with many contributors earning additional annual income through 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.