Una candidatura completa en un minuto
Currículum y carta de presentación personalizados, listos para enviar.
DataAnnotation is seeking contributors to validate and stress-test AI models by running real engineering tasks, fixing bugs, and extending APIs. You’ll analyze model outputs against production standards and document failures to improve future iterations.
Prior open-source experience is valued, and a strong command of English is required. The role emphasizes remote collaboration and project-based work without a fixed degree requirement.
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.