Live opening · Posted 8 days ago
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Biochemistry Subject Matter Expert (AI Training)
About The Role
We're partnering with the world's leading AI research labs to build smarter, more scientifically rigorous AI — and we need expert biochemists to make it happen. As a Biochemistry Subject Matter Expert, your deep knowledge of molecular biology, enzyme kinetics, and metabolic systems will directly shape how AI reasons through complex life science problems.
This is a fully remote, flexible contract role designed to fit around your existing commitments. No AI experience needed — just a strong scientific foundation and the ability to think critically.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Advanced Problems — Craft challenging biochemistry scenarios across areas like nucleic acid chemistry, proteomics, metabolic flux, and drug-target interactions to rigorously test AI reasoning.
Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI scientific reasoning — the gold standard the model learns from.
Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and quantitative analyses for scientific accuracy, logical consistency, and adherence to established standards.
Refine AI Reasoning — Identify specific failure modes — such as incorrect stoichiometry, flawed stereochemistry, or misapplied enzyme kinetics — and provide structured feedback to improve how AI thinks through life science problems.
Who You Are
Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field
Deep Domain Knowledge: Strong grounding in structural biology, enzymology, cellular metabolism, bioinformatics, or related specializations
Clear Scientific Communicator: Able to translate complex biological and chemical concepts into precise, well-structured written explanations
Meticulous and Detail-Oriented: High precision when reviewing chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols
No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, evaluation, or quality assurance workflows
Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST
Background in scientific writing, peer review, or research mentorship
Why Join Us
Work on some of the most impactful AI projects being developed today
Fully remote and asynchronous — work when and where it suits you
Freelance flexibility with meaningful, intellectually stimulating work
Collaborate with a global community of scientists and researchers
Potential for ongoing work and contract extension as projects grow
Work arrangement
No
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