Chemistry Masters – AI Data Trainer
About The Role

We're looking for Master's-level chemists to help train and evaluate some of the world's most advanced AI models. Your deep subject-matter expertise will directly shape how AI understands and reasons through complex chemistry problems — from undergraduate fundamentals to graduate-level challenges.

This is a fully remote, flexible contract role. No prior AI experience required — just a strong chemistry background and sharp analytical thinking.

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

What You'll Do

• Design advanced chemistry problems across domains such as chemical engineering, biochemistry, and physical chemistry to challenge and evaluate AI performance
• Develop clear, rigorous, step-by-step solutions that demonstrate expert-level reasoning
• Evaluate AI-generated outputs for scientific accuracy, logical consistency, and quality
• Collaborate with research teams to refine and improve benchmarks spanning undergraduate through Master's-level chemistry
• Provide structured, actionable feedback that directly improves AI model capabilities

Who You Are

• Currently pursuing or holding a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a closely related field
• Strong 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 evaluation and feedback
• Self-motivated and comfortable working independently and asynchronously
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality assessment, or evaluation frameworks
• Familiarity with large language models or AI research workflows
• Background spanning multiple chemistry sub-disciplines

Why Join Us

• Work directly with industry-leading AI labs on cutting-edge research
• Fully remote and flexible — set your own schedule and hours
• Freelance perks: high autonomy, variety of projects, and global collaboration
• Contribute to meaningful work that advances how AI understands science
• Potential for ongoing contract renewals and expanded project involvement