Dynamical Systems Researcher - AI Trainer

DataAnnotation; Rhode Island; Remote; USD 170,000 - 243,000; Full time

Benefits offered by this job

Remote work

Job summary

DataAnnotation is seeking contributors to vibe-code frontier models on real tasks, analyze model outputs against production standards, and red-team to reveal weaknesses before they reach users. Your explanations will guide the next generation of coding agents.

You will document failures, rate reasoning, and contribute to safer, more capable AI systems, all from a remote role that values clarity and practical skill over formal degrees.

Qualifications

• Professional or serious open-source experience shipping production code.
• Clear written English; explanations serve as training signal.
• No degree required; focus on ability rather than where learned.

Responsibilities

• Vibe-code with frontier models on real tasks: fix a bug, extend an API, ship a feature, and test the model's autonomy.
• 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 tests, and confidently wrong solutions before real users hit them.

Skills

Open-source contributions

Clear English writing

Self-driven learning

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.