About The Role
We're looking for chemistry experts to help train and improve the next generation of AI models. At Alignerr, we partner with the world's leading AI research labs — and we need people with deep scientific knowledge to make AI smarter, more accurate, and more capable in complex STEM domains.
Chemistry Masters — AI Data Trainer
If you have a Master's in Chemistry (or a related field), this is a rare opportunity to apply your expertise in a flexible, remote role that puts you at the frontier of AI development.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design advanced chemistry problems to challenge and evaluate AI performance across domains like chemical engineering, biochemistry, and physical chemistry
- Develop clear, rigorous, step-by-step solutions that demonstrate expert-level reasoning
- Evaluate AI-generated responses for scientific accuracy, logical soundness, and quality
- Collaborate with researchers to build and refine benchmarks spanning undergraduate to Master's-level chemistry topics
- Work independently and asynchronously on your own schedule
Who You Are
- Pursuing or completed a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a closely related field
- Strong analytical and problem-solving skills across advanced chemistry domains
- Able to communicate complex scientific concepts clearly and precisely in writing
- Detail-oriented with a commitment to accuracy and rigor
- No prior AI experience required — your chemistry knowledge is what matters
Nice to Have
- Experience with data annotation, quality evaluation, or academic research
- Familiarity with AI or language model evaluation workflows
- Background spanning multiple chemistry subfields
Why Join Us
- Work directly on cutting-edge AI projects with top research labs
- Fully remote and flexible — work on your own schedule, wherever you are
- Freelance perks: high autonomy, variety, and global collaboration
- Make a meaningful impact on how AI reasons through complex scientific problems
- Potential for ongoing work and contract renewals