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DataAnnotation is seeking a contributor to run agentic coding sessions on real engineering tasks, analyze model outputs, and document failures to improve the next generation of coding agents.
You’ll vibe-code with frontier models, fix bugs, extend APIs, and rate the model's reasoning against production standards, while red-teaming to reveal unsafe or misleading behavior before real users interact with it.
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 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.