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DataAnnotation is seeking contributors to run agentic coding sessions, analyze model outputs, and document failures to teach future coding agents. You will fix bugs, extend APIs, and evaluate how far models can operate on real tasks while maintaining high-quality explanations in English.
Compensation includes up to $150+ per hour, with many contributors earning substantial annual income. Flexible, remote work is offered, and 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 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.