Chemistry Masters

Chemistry Masters - AI Data Trainer 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 chemistry knowledge to help make AI smarter, more accurate, and more rigorous. If you hold (or are pursuing) a Master's in Chemistry or a related field, this is your opportunity to shape cutting-edge AI from the comfort of your own home - on your own schedule. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10-40 hours/week What You'll Do Design challenging, advanced chemistry problems to test and benchmark AI performance across areas like chemical engineering, biochemistry, and physical chemistry Develop clear, rigorous, step-by-step solutions that demonstrate sound scientific reasoning Evaluate AI-generated responses for accuracy, depth, and quality of reasoning Collaborate with researchers to refine and improve evaluation benchmarks spanning undergraduate through Master's-level chemistry topics Provide structured, actionable feedback to help AI systems improve over time 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 concisely 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 - your chemistry expertise is what matters Nice to Have Experience with data annotation, data quality assessment, or evaluation systems Familiarity with AI or machine learning concepts Background spanning multiple chemistry sub-disciplines Why Join Us Work directly with industry-leading large language models and top AI research labs Fully remote and flexible - work when and where it suits you Freelance perks: high autonomy, variety of projects, and global collaboration Potential for ongoing contract renewals and expanded project involvement Contribute to meaningful work that pushes the boundaries of what AI can do in science