Chemistry Masters

Chemistry Masters – AI Data Trainer

About The Role

We're partnering with the world's leading AI research labs to build smarter, more scientifically rigorous AI models — and we need chemistry experts to make it happen. If you hold a Master's degree (or are currently pursuing one) in Chemistry, Chemical Engineering, Biochemistry, or a related field, this is your chance to directly influence how next-generation AI understands and reasons through complex scientific problems.

No AI experience required. Your chemistry expertise is what matters.

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

What You'll Do

• Design advanced chemistry problems that rigorously test AI reasoning and performance — spanning chemical engineering, biochemistry, organic chemistry, and more
• Develop clear, step-by-step solutions that reflect rigorous scientific logic
• Evaluate AI-generated outputs for scientific accuracy, depth of reasoning, and quality
• Collaborate with researchers to build and refine benchmarks across undergraduate-to-Masters-level chemistry topics
• Provide structured, expert feedback that directly improves large language model (LLM) capabilities

Who You Are

• Pursuing or holding 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 scientific rigor
• Self-motivated and comfortable working independently on a flexible schedule
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality, or evaluation workflows
• Familiarity with how large language models work
• Background spanning multiple chemistry sub-disciplines

Why Join Us

• Work on cutting-edge AI projects with top-tier research labs and organizations
• Fully remote and async — work on your own schedule from anywhere
• Freelance flexibility: high autonomy, variety in tasks, and global collaboration
• Contribute to meaningful work that shapes how AI reasons about science
• Potential for ongoing contract renewals and expanded project involvement