About the Role
We're looking for chemistry experts to help evaluate and improve AI systems tackling advanced scientific problems. Your deep subject-matter knowledge will directly shape how AI reasons through chemistry — from undergraduate fundamentals to graduate-level complexity — making a real impact on the next generation of intelligent tools.
This is a fully remote, flexible contract role. No prior AI experience is needed — just a strong command of chemistry and the ability to think rigorously.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design challenging, advanced chemistry problems to rigorously test AI performance across areas such as chemical engineering, biochemistry, organic chemistry, and more
- Develop clear, step-by-step solutions with precise, well-structured reasoning
- Evaluate AI-generated outputs for scientific accuracy, logical soundness, and quality
- Collaborate with researchers to refine benchmarks spanning undergraduate to Master's-level chemistry topics
- Provide structured, detailed feedback that helps improve AI model performance
Who You Are
- Currently pursuing or have completed a Master's degree (or higher) in Chemistry, Chemical Engineering, Biochemistry, or a closely related field
- Strong analytical and problem-solving skills across advanced chemistry domains
- Ability to communicate complex scientific concepts clearly and precisely in writing
- Detail-oriented with a commitment to accuracy and logical rigor
- Self-motivated and comfortable working independently and asynchronously
- No prior AI experience required
Nice to Have
- Experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI language models or scientific benchmarking
- Background spanning multiple chemistry sub-disciplines
Why Join Us
- Work directly with industry-leading AI research labs on cutting-edge projects
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: high autonomy, variety of tasks, and global collaboration
- Contribute to meaningful work that advances AI's understanding of science
- Potential for ongoing contracts and long-term engagement