Biology Subject Matter Expert (AI Training) About The Role We're looking for biology experts to help evaluate and improve AI systems trained on scientific content. Your knowledge will directly shape how AI understands, reasons through, and communicates complex biology — from cellular mechanisms to cutting-edge biotechnology. This is a unique chance to work at the intersection of life sciences and artificial intelligence, partnering with world-leading AI research labs without leaving your home.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week What You'll Do Design challenging biology questions that test the limits of AI reasoning across undergraduate to Masters-level topics
Develop transparent, rigorous step-by-step solutions that demonstrate expert-level scientific thinking
Evaluate AI-generated responses for accuracy, logical coherence, and scientific validity
Identify gaps and errors in AI outputs, providing structured, actionable feedback
Collaborate with researchers to refine benchmarks and improve model performance across biology domains
Work independently and asynchronously on your own schedule Who You Are Pursuing or holding a Master's degree in Biology, Biotechnology, Biochemistry, or a closely related field
Strong scientific reasoning and problem-solving skills across advanced biology topics
Able to communicate complex concepts clearly and precisely in writing
Detail-oriented with a systematic approach to evaluating quality
Self-motivated and comfortable working independently on remote tasks
No prior AI experience required Nice to Have Experience with data annotation, data quality assessment, or evaluation systems
Background in molecular biology, genetics, physiology, or related sub-disciplines
Familiarity with AI or large language model workflows Why Join Us Work on cutting-edge AI projects with top-tier research labs and directly influence how AI handles scientific content
Fully remote and versatile — work on your own schedule, from anywhere
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that raises the bar for scientific accuracy in AI