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Chemistry Masters – AI Data Trainer About The Role We're looking for Master's-level chemistry experts to help train and improve some of the world's most advanced AI models. Your scientific knowledge will directly shape how AI understands and reasons through complex chemistry — from organic synthesis to biochemical pathways. This is a fully remote, flexible contractor role. No AI experience required — just deep chemistry expertise and the ability to think critically and communicate clearly. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design challenging, high-quality chemistry problems to rigorously test AI reasoning and performance Develop clear, step-by-step solutions with well-structured logic across domains such as chemical engineering, biochemistry, and physical chemistry Evaluate AI-generated responses for scientific accuracy, depth, and quality of reasoning Collaborate with researchers to build and refine benchmarks spanning undergraduate through Master's-level chemistry topics Provide structured, actionable feedback that helps improve AI model outputs 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 problem-solving skills across advanced chemistry domains Able to communicate complex scientific concepts clearly and precisely in writing Detail-oriented and consistent when evaluating technical content Self-motivated and comfortable working independently on an async schedule No prior AI experience required Nice to Have Experience with data annotation, data quality review, or evaluation systems Familiarity with large language models or AI research workflows Background spanning multiple chemistry sub-disciplines Why Join Us Work on cutting-edge AI projects in partnership with leading AI research labs Fully remote and flexible — work on your own schedule, from anywhere Freelance perks: high autonomy, variety of projects, and global collaboration Meaningful contribution to how AI understands science at an advanced level Potential for ongoing work and contract renewal