Biochemist

Biochemist – AI Data Trainer
About The Role
What if your expertise in protein folding, enzyme kinetics, or metabolic pathways could directly shape how the world's most advanced AI models think about science?
Alignerr partners with leading AI research labs to build and refine cutting-edge language models — and we need PhD-level Biochemists to help us get the science right. This is a fully remote, flexible contract role where your deep domain knowledge becomes the benchmark for AI accuracy.
No AI background required. Just bring your scientific rigor.
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, structural biology, and drug-target interactions to stress-test AI reasoning.
Author Ground-Truth Solutions — Write rigorous, step-by-step scientific responses that serve as the gold standard for AI model training and benchmarking.
Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and quantitative analyses for technical accuracy, logical consistency, and scientific soundness.
Refine AI Reasoning — Identify flaws in AI thinking — such as incorrect stoichiometry, stereochemical errors, or flawed metabolic logic — and provide structured, actionable feedback to improve model performance.
Who You Are
PhD-level expertise: You hold (or are in the final stages of completing) a PhD in Biochemistry, Molecular Biology, or a closely related discipline.
Deep domain knowledge: You have strong command of at least one core area — structural biology, enzymology, cellular metabolism, bioinformatics, or molecular genetics.
Precise communicator: You can translate highly technical biochemical concepts into clear, well-structured written explanations.
Detail-oriented: You catch errors others miss — whether it's a miscalculated Km value or an incorrect stereocenter assignment.
No AI experience required — we'll give you everything you need to get started.
Nice to Have
Experience with data annotation, quality evaluation, or scientific peer review
Familiarity with computational tools such as PyMOL, AlphaFold, or BLAST
Background in science writing, technical documentation, or curriculum development
Why Join Us
Make a real impact — Your scientific expertise directly improves how AI reasons about life sciences, with implications for research worldwide.
Work on the frontier — Get hands-on exposure to advanced large language models and how they're trained and evaluated.
Total flexibility — Work on your own schedule, fully remote, with no fixed hours or location requirements.
Autonomy — Choose your own pace and projects that align with your expertise.
Ongoing opportunity — Strong contributors are considered for contract extensions and additional projects.

Work arrangement
Yes