Biochemistry Subject Matter Expert - AI Content Specialist
Summary: The Biochemistry Subject Matter Expert will leverage their PhD-level expertise to evaluate and enhance AI models focused on complex biochemical concepts. This role involves designing challenging problems, authoring solutions, auditing AI outputs, and refining AI reasoning. The position is fully remote and offers flexible hours, allowing for a balance with existing commitments. Candidates will contribute to high-impact AI projects that shape the future of scientific AI.
Key Responsibilities:
- Design advanced biochemistry questions and scenarios to test AI performance.
- Develop precise, step-by-step technical solutions as benchmarks for scientific reasoning.
- Evaluate AI-generated biochemical pathways and structures for accuracy and validity.
- Identify and document logical errors in AI responses and provide structured feedback.
Key Skills:
- PhD (completed or in progress) in Biochemistry, Molecular Biology, or related field.
- Strong foundational knowledge in structural biology, enzymology, cellular metabolism, or bioinformatics.
- Ability to communicate complex concepts clearly in writing.
- Detail-oriented with high precision in reviewing chemical equations and diagrams.
- No prior AI experience required.
- Experience with data annotation or evaluation systems is a plus.
- Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST.
- Background in scientific writing, peer review, or curriculum development is advantageous.
Salary (Rate): £35.00/hr
City: Cambridge
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Biochemistry Subject Matter Expert (AI Training)
About The Role
We're looking for PhD-level Biochemists to help evaluate and improve cutting-edge AI models trained on advanced scientific content. 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.
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 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.
Who You Are
- Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field
- 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
- No prior AI experience required
Nice to Have
- 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
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
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