DevOps Engineer - AI Trainer

DataAnnotation

Rhode Island

Remote

USD 100.000 - 200.000

Vollzeit

vor 44 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Remote work
Project-based pay
Competitive hourly rate

Zusammenfassung

DataAnnotation is seeking contributors to run agentic coding sessions on real tasks, analyze what the models produce, and red-team them until they fail in interesting ways. You’ll document failures to teach the next generation of coding agents, and help improve production code standards.

You’ll fix bugs, extend APIs, and ship features, while communicating clearly in English. This is a flexible, remote, project-based opportunity designed for experienced developers who value practical impact.

Qualifikationen

  • Professional or serious open-source experience shipping production code.
  • Clear written English: your explanations are the training signal.
  • No degree required. We care about what you can do, not where you learned it.

Aufgaben

  • Vibe-code with frontier models on real tasks: fix a bug, extend an API, ship a feature, and see how far the model gets on its own.
  • Analyze the AI's work against production standards: find the bugs, explain the failure, and rate the model's reasoning.
  • Red-team the models to expose unsafe code, faked test passes, and confidently wrong solutions before real users hit them.

Kenntnisse

Open-source shipping
Clear written English

Ausbildung

No degree required

Jobbeschreibung

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.

What you’ll actually do
  • Vibe-code with frontier models on real tasks: fix a bug, extend an API, ship a feature, and see how far the model gets on its own.
  • Analyze the AI's work against production standards: find the bugs, explain the failure, and rate the model's reasoning.
  • Red-team the models to expose unsafe code, faked test passes, and confidently wrong solutions before real users hit them.
What we look for
  • Professional or serious open-source experience shipping production code.
  • Clear written English: your explanations are the training signal.
  • No degree required. We care about what you can do, not where you learned it.
Compensation

Up to $150+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.

About DataAnnotation

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.

Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.

oder ziehe deine Datei hierhin.

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