Drug Discovery Chemist - AI Trainer

DataAnnotation; Oregon; Remote; USD 55,000 - 207,000; Full time

Benefits offered by this job

Flexible work arrangements

Remote work

Project-based opportunities

Job summary

DataAnnotation is seeking someone to run agentic coding sessions on real engineering tasks, analyze model outputs, and document failures to improve future agents.

You’ll vibe-code with frontier models, critique the AI against production standards, and red-team for unsafe code and erroneous reasoning before real users see it.

Remote-friendly, contribution-based work with flexible scheduling that directly shapes next-generation coding agents and safety benchmarks.

Qualifications

• Professional or serious open-source experience shipping production code.
• Clear written English: your explanations are the training signal.
• No degree required; ability to demonstrate capability matters.

Responsibilities

• Vibe-code with frontier models on real tasks: fix a bug, extend an API, ship a feature.
• Analyze the AI's work against production standards: find bugs, explain the failure, and rate the model's reasoning.
• Red-team the models to expose unsafe code, fake test passes, and confidently wrong solutions before real users hit them.

Skills

Shipping production code

Open-source contribution

Technical writing

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.