Biology Subject Matter Expert (AI Training) About The Role We're looking for biology experts to help train and improve some of the world's most advanced AI models. At Alignerr, we partner with leading AI research labs to build smarter, more accurate AI — and your scientific knowledge is the key ingredient. If you have a strong background in Biology, Biotechnology, Biochemistry, or a related field, this is a rare opportunity to apply your expertise in a flexible, fully remote contract role that puts you at the frontier of AI development.
No prior AI experience needed — just a sharp scientific mind and the ability to think rigorously.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week What You'll Do Design challenging, advanced biology questions to rigorously test AI performance
Develop explicit, step-by-step solutions that demonstrate strong scientific reasoning
Evaluate AI-generated outputs for accuracy, logical consistency, and quality
Collaborate with researchers to refine evaluation benchmarks across undergraduate to Masters-level biology topics
Work independently and asynchronously on your own schedule Who You Are Pursuing or holding a Master's degree in Biology, Biotechnology, Biochemistry, or a related field
Strong reasoning and problem-solving skills across advanced biology domains
Able to communicate complex scientific concepts clearly and concisely in writing
Detail-oriented with a commitment to accuracy and rigorous thinking
No prior AI or data annotation experience required Nice to Have Experience with data annotation, data quality assessment, or evaluation workflows
Familiarity with AI language models or scientific benchmarking
Background spanning multiple biology disciplines (e.g., molecular biology, genetics, physiology) Why Join Us Work on cutting-edge AI projects alongside top research labs and scientists
Fully remote and flexible — work on your own schedule from anywhere
Freelance perks: high autonomy, variety of tasks, and global collaboration
Direct engagement with industry-leading large language models