Chemistry Masters
About this role
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
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