Biochemistry Subject Matter Expert - AI Content Specialist

About The Role

We're looking for PhD-level Biochemists to help train and refine the next generation of AI systems. Your deep scientific expertise will directly shape how AI reasons about complex topics — from protein folding and enzyme kinetics to metabolic flux and molecular genetics. This is a rare opportunity to apply your research-level knowledge in a meaningful, flexible, and well-compensated way — without leaving your home.

Who You Are

• Hold a PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related discipline
• Have strong foundational expertise in one or more of: structural biology, enzymology, cellular metabolism, molecular genetics, or bioinformatics
• Communicate highly technical biological and chemical concepts clearly and concisely in writing
• Bring a high level of precision to reviewing complex chemical equations, molecular diagrams, and experimental protocols
• Be self-motivated and comfortable working independently on task-based assignments
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality, or evaluation workflows
• Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST
• Background in academic writing, scientific publishing, or technical communication

What You'll Do

• Design Advanced Problems — Create challenging, domain-specific biochemistry problems across areas like nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to rigorously stress-test AI performance
• Author Gold-Standard Solutions — Develop precise, step-by-step technical responses that serve as benchmarks for AI reasoning in life science contexts
• Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for scientific accuracy, safety, and adherence to established standards
• Refined AI Reasoning — Identify logical errors such as incorrect stoichiometry, flawed stereochemistry, or misapplied biochemical principles, and deliver structured feedback to improve model performance
• Work independently and asynchronously on your own schedule