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DataAnnotation is a remote-friendly platform where 100k+ experts help train AI models. You will vibe-code with frontier models on real tasks, analyze the model’s work against production standards, and red-team the models to uncover unsafe code and weaknesses before real users see them.
The role emphasizes clear written English and the ability to explain failures as part of the training signal. No degree is required, and compensation is task-based with flexible, remote work options.
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 $40 – $150+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ 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.