Chemistry Masters

Chemistry Masters – AI Data TrainerAbout The Role We're looking for chemistry experts to help train and improve the next generation of AI models. Your deep scientific knowledge will directly shape how AI understands and reasons through complex chemistry problems — from biochemistry to chemical engineering. This is a fully remote, flexible contract role where your expertise genuinely matters. No AI background needed — just strong chemistry knowledge and a sharp analytical mind.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design challenging chemistry problems across advanced domains (e.g., chemical engineering, biochemistry, organic chemistry) to test AI performance
• Develop clear, rigorous, step-by-step solutions that demonstrate sound scientific reasoning
• Evaluate AI-generated outputs for accuracy, logical consistency, and depth of understanding
• Collaborate with researchers to refine benchmarks spanning undergraduate to Master's-level chemistry topics
• Provide structured, high-quality feedback that directly improves AI model training

Who You Are

• Currently pursuing or have 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 systematic approach to evaluating quality and accuracy
• Self-motivated and comfortable working independently and asynchronously
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality review, or evaluation systems
• Familiarity with scientific benchmarking or academic research workflows
• Background spanning multiple chemistry subdisciplines

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and AI teams
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful contribution to how AI understands science
• Potential for ongoing work and contract extension