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DataAnnotation in the United States is seeking a contributor who will vibe-code with frontier models on real tasks, fix bugs, extend APIs, and ship features while observing how far the model can operate autonomously.
You will analyze the model's work against production standards, document failures, and rate the model's reasoning. You will also red-team to uncover unsafe code before real users encounter issues.
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.