Alignerr
Biochemistry Subject Matter Expert - AI Content Specialist
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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 scientific problems.
This is a fully remote, flexible contract role designed to fit around your existing schedule. No prior AI experience required — your scientific expertise 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 problems spanning nucleic acid chemistry, proteomics, enzyme kinetics, and drug-target interactions to rigorously stress-test AI performance
- Author Gold-Standard Solutions — Write 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 scientific accuracy, safety, and adherence to established standards
- Refine AI Reasoning — Identify logical errors — such as incorrect stoichiometry, flawed stereochemistry, or misapplied biochemical principles — and deliver structured feedback to improve model performance
- Work Independently — Complete task-based assignments asynchronously on your own schedule
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Who You Are
- Hold a PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related field
- Have strong foundational expertise in one or more of: structural biology, enzymology, cellular metabolism, or bioinformatics
- Can communicate complex biochemical and chemical concepts clearly and precisely in written English
- Possess a high level of attention to detail when reviewing chemical equations, molecular diagrams, and experimental protocols
- No prior AI or data annotation experience required
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Nice to Have
- Experience with data annotation, data quality review, or evaluation workflows
- Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST
- Background in scientific writing, peer review, or technical editing
Why Join Us
- Work on cutting-edge AI projects alongside top research labs and scientists
- Fully remote and flexible — work when and how much you want
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that shapes how AI understands science
- Potential for ongoing work and contract extension
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