Biochemistry Subject Matter Expert (AI Training)

About The Role

What if your deep knowledge of protein folding, enzyme kinetics, and metabolic pathways could help shape the next generation of AI? At Alignerr, we partner with the world's leading AI research labs to build smarter, more scientifically rigorous AI models — and we need expert biochemists to make it happen.

This is a fully remote, flexible contract role where your scientific expertise directly improves how AI reasons about complex biological and chemical systems. No AI background needed — just a sharp scientific mind and a passion for getting the details right.

Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week

What You'll Do

Design Expert-Level Problems — Craft advanced biochemistry challenges spanning nucleic acid chemistry, proteomics, enzyme kinetics, and drug-target interactions to rigorously stress-test AI performance Author Ground-Truth Solutions — Develop precise, step-by-step scientific responses that serve as gold-standard benchmarks for AI reasoning in life sciences Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical derivations for scientific accuracy, logical consistency, and adherence to established standards Refine AI Reasoning — Identify and document errors in AI thinking — such as flawed stoichiometry, incorrect stereochemistry, or misapplied biological principles — and provide structured feedback to improve model performance

Who You Are

Advanced Degree: PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related discipline Deep Domain Knowledge: Strong command of structural biology, enzymology, cellular metabolism, molecular genetics, or bioinformatics Scientific Writing Skills: Ability to communicate complex biochemical and chemical concepts clearly, precisely, and concisely in writing Exceptional Attention to Detail: High accuracy when reviewing chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols No prior AI or machine learning experience required

Nice to Have

Experience with data annotation, data quality assurance, or evaluation systems Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST Background in scientific writing, peer review, or curriculum development

Why Join Us

Work on cutting-edge AI projects alongside top AI research labs and teams Fully remote and flexible — design your own schedule and work at your own pace Freelance autonomy with meaningful, intellectually stimulating work Contribute to AI systems that will impact scientific research and discovery Potential for ongoing work and contract extension as projects grow