Biochemist

Biochemist — AI Data Trainer
About The Role
What if your deep knowledge of protein folding, enzyme kinetics, and metabolic pathways could directly shape the next generation of AI? At Alignerr, we partner with the world's leading AI research labs to train and refine cutting-edge models — and we need expert biochemists to help us get the science right.
This is a fully remote, flexible contract role designed for PhD-level scientists who want to apply their expertise beyond the bench. No prior AI experience required — your scientific knowledge is what matters.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Challenging Problems — Create advanced biochemistry questions and scenarios spanning nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to rigorously test AI performance
Build Ground-Truth Solutions — Author precise, step-by-step technical solutions that serve as benchmarks for high-level scientific reasoning in AI systems
Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for technical accuracy, safety, and scientific validity
Sharpen AI Reasoning — Identify flaws in AI logic — such as incorrect stoichiometry, misapplied stereochemistry, or flawed mechanistic reasoning — and provide structured feedback to improve model performance
Who You Are
Holds a PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related discipline
Strong foundational expertise in one or more core areas: structural biology, enzymology, cellular metabolism, bioinformatics, or pharmacology
Able to communicate complex biochemical and chemical concepts clearly and precisely in writing
Detail-oriented with a high level of precision when reviewing chemical equations, molecular diagrams, and experimental protocols
Self-motivated and comfortable working independently in an asynchronous, remote environment
No prior AI experience required
Nice to Have
Experience with data annotation, evaluation systems, or quality assurance workflows
Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST
Background in science writing, peer review, or technical editing
Why Join Us
Work on genuinely cutting-edge AI projects alongside top research labs
Fully remote and flexible — work on your own schedule, wherever you are
Gain meaningful exposure to how large language models are built and refined
Contribute to work that makes AI more scientifically accurate and trustworthy
Freelance autonomy with the potential for ongoing contract extension
Collaborate with a global network of expert scientists and researchers

Work arrangement
Yes