Spectroscopy Analyst - AI Trainer

DataAnnotation; West Virginia; Remote; USD 55,000 - 207,000; Part time

Job summary

DataAnnotation is seeking a diligent contributor to vet AI-generated code. You’ll run vibe-coded tasks on real engineering challenges, fix bugs, extend APIs, and measure how far frontier models can go on their own.

You’ll document failures, explain the model’s reasoning, and help strengthen future agents by red-teaming unsafe or confidently wrong solutions before real users encounter them. Remote, flexible project work.

Qualifications

• 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.

Responsibilities

• Vibe-code with frontier models on real tasks: fix bugs, extend APIs, and ship features.
• Analyze AI work against standards: find bugs, explain failures, rate reasoning.
• Red-team models to expose unsafe code and wrong solutions before users hit them.

Skills

Production code shipping

Clear written English

Open-source experience

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.