Posted 21 Sept 2026
Biochemistry Subject Matter Expert - AI Content Specialist
We're looking for PhD-level Biochemists to help evaluate and improve cutting-edge AI models trained on advanced scientific content.
Hiring companyAlignerr
About the role
Your expertise will directly shape how AI understands and reasons through complex biochemical concepts — from protein folding to metabolic flux — making a real impact on the future of scientific AI.
Why Join Us
- Work on high-impact AI projects alongside the world's leading research labs.
- Fully remote and flexible — design your own schedule around your existing commitments.
- Freelance perks: autonomy, intellectual variety, and global collaboration.
- Gain firsthand exposure to how advanced large language models are trained and evaluated.
- Potential for ongoing work and contract extension.
Responsibilities
- Design Challenging Problems — Create advanced biochemistry questions and scenarios across domains like nucleic acid chemistry, proteomics, enzyme kinetics, and drug-target interactions to rigorously test AI performance.
- Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions that serve as gold-standard benchmarks for high-level scientific reasoning.
- Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for technical accuracy, safety, and scientific validity.
- Refine AI Reasoning — Identify and document logical errors in AI responses — such as incorrect stoichiometry, flawed stereochemistry, or misapplied metabolic principles — and provide structured feedback to improve model performance.
Required skills
- Domain Expertise: Strong foundational knowledge in areas such as structural biology, enzymology, cellular metabolism, or bioinformatics.
- Clear Communicator: Able to translate highly technical biological and chemical concepts into precise, well-structured written explanations.
- Detail-Oriented: High level of precision when reviewing complex chemical equations, molecular diagrams, and experimental protocols.
Preferred skills
- Experience with data annotation, data quality, or evaluation systems.
- Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST.
- Background in scientific writing, peer review, or curriculum development.
Experience and education
- Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field.
- No prior AI experience required.
Schedule details
10–40 hours per week.
Eligibility
Work arrangement: Fully remote
Eligible regions: Cambridge
Compensation details
$35–$70 per hour.
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