Materials Informatics Scientist - AI Trainer

DataAnnotation; Wisconsin; Remote; USD 170,000 - 243,000; Full time

Job summary

DataAnnotation is seeking a tester of AI coding systems to run agentic coding sessions on real engineering tasks, analyze what the models produce, and report failures. You will help push the boundary of what frontier models can do in practice.

This remote, project-based role values clear English explanations, production-ready coding experience, and a willingness to red-team models to uncover unsafe code and confidently wrong solutions before they reach users.

Qualifications

• This role requires professional or serious open-source experience shipping production code.
• Clear written English is essential for explanations that train the model.
• No degree is required; focus is on what you can do, not where you learned it.

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 and explain failures.
• Red-team the models to expose unsafe code and confidently wrong solutions before users see them.

Skills

Vibe-code

Model analysis

Red-team

Clear English

Education

No degree required

Tools

Frontier models

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.