Analytical Workflow Automation Scientist - AI Trainer

DataAnnotation; Virginia (MN); Remote; USD 55,000 - 207,000; Full time

Job summary

DataAnnotation is seeking contributors to validate frontier-model outputs by running real engineering tasks and documenting failures. You will observe how models perform, provide explanations, and help improve future generations of coding agents.

Remote, flexible work with projects available worldwide. Compensation ranges based on task difficulty, with hourly rates from $40 to $150+, and potential annual earnings for top contributors.

Qualifications

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

Responsibilities

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

Skills

Open-source experience

Excellent English writing

No degree required

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 $40 – $150+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ 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.