Biochemist
Biochemist – AI Data TrainerAbout The RoleWhat 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 teams to build smarter, more scientifically rigorous models — and we need expert biochemists to make it happen.This is a fully remote, flexible contract role designed for PhD-level scientists who want to apply their expertise beyond the lab. You'll challenge, audit, and refine advanced AI language models on complex biochemical topics — work that directly influences how AI reasons about life science. No prior AI experience required.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign Expert-Level Problems — Craft advanced biochemistry challenges spanning nucleic acid chemistry, proteomics, drug-target interactions, and more to rigorously test AI reasoning.Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions that serve as gold-standard benchmarks for AI scientific reasoning.Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical derivations for technical accuracy, safety, and scientific integrity.Refine AI Reasoning — Identify logical errors — such as incorrect stoichiometry, flawed stereochemistry, or misapplied enzyme kinetics — and provide structured, actionable feedback to improve model performance.Who You AreAdvanced Degree: PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related discipline.Deep Domain Knowledge: Strong foundational expertise in at least one of the following — structural biology, enzymology, cellular metabolism, or bioinformatics.Clear Technical Communicator: Able to translate highly complex biological and chemical concepts into precise, well-structured written explanations.Detail-Oriented: Exceptional precision when reviewing chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols.Self-Directed: Comfortable working independently and asynchronously in a remote environment.Nice to HaveExperience with data annotation, data quality assessment, or evaluation workflowsFamiliarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLASTBackground in scientific writing, peer review, or curriculum developmentWhy Join UsHigh-Impact Work — Your expertise directly shapes how AI understands and communicates science at the frontier of biological research.Fully Remote & Flexible — Work on your own schedule, from anywhere in the world.Cutting-Edge Exposure — Gain firsthand insight into how advanced large language models are trained and evaluated.Freelance Autonomy — Enjoy the freedom and variety of contract work with meaningful, intellectually stimulating projects.Ongoing Opportunity — Strong performers are regularly considered for contract extensions and new project matches.