Discrete Mathematics & Graph Theorist - AI Trainer

DataAnnotation

Wyoming

Remote

USD 124,000 - 207,000

Full time

14 days+

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Benefits offered by this job

Flexible, remote work

Job summary

DataAnnotation is seeking contributors to run agentic coding sessions on real engineering tasks, analyze what the models produce, and red-team them until they fail in interesting ways. Each failure you document improves the next generation of coding agents.

You will work remotely with flexible scheduling, documenting reasoning and results to help scale safe, capable AI systems. This role rewards precise explanations and rigorous testing.

Qualifications

  • Professional or serious open-source experience shipping production code.
  • Clear written English for explanations and documentation.
  • No degree required; focus on ability and demonstrated work.

Responsibilities

  • Vibe-code with frontier models on real tasks: fix bugs, extend APIs, ship features.
  • Analyze the AI's work against production standards, identify bugs, explain failures.
  • Red-team the models to expose unsafe code and confidently wrong solutions before users.

Skills

Open-source experience
Production code experience
Clear written English

Job description

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 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.

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