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DataAnnotation is seeking contributors to experiment with frontier models by vibing-code real tasks, fixing bugs, extending APIs, and shipping features.
You will analyze the AI's work against production standards, identify bugs, explain the failures, and rate the model's reasoning, then red-team to reveal unsafe code and confidently wrong solutions 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 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.