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DataAnnotation is seeking a capable engineer to run agentic coding sessions on real engineering tasks, analyze what the models produce, and push them to failure in interesting ways.
You will document failures, explain the model's reasoning, and help shape safer, more capable AI systems for production use. This role emphasizes strong written English and practical, open-source experience; degree not required.
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.