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DataAnnotation is seeking a contributor who will run agentic coding sessions on real engineering tasks, analyze what the models produce, and push them to fail in interesting ways. You will document failures to teach the next generation of coding agents and help improve future iterations.
Responsibilities include fixing bugs, extending APIs, and assessing model reasoning against production standards, with a focus on safe, robust outputs. Flexible, remote, project-ready participation is offered.
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 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.