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DataAnnotation is seeking contributors to run agentic coding sessions on real engineering tasks, analyze model outputs, and red-team the models to expose failures before they reach users. You will document findings and rate the AI's reasoning to guide future improvements.
All work is flexible, remote, and project-based, with emphasis on clear English explanations and demonstrated ability to ship production-quality code. No degree is required.
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.