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DataAnnotation is seeking contributors to run agentic coding sessions on real engineering tasks, analyze what the models produce, and red-team them until they fail in interesting ways. Each failure you document improves the next generation of coding agents.
You will work remotely with flexible scheduling, documenting reasoning and results to help scale safe, capable AI systems. This role rewards precise explanations and rigorous testing.
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.