Alignerr
Biochemist
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Biochemist – AI Data Trainer
About The Role
What if your deep expertise in biochemistry could help shape the next generation of AI? At Alignerr, we partner with the world's leading AI research labs to build smarter, more scientifically accurate AI models — and we need PhD-level biochemists to make it happen.
This is a fully remote, flexible contract role where your knowledge of protein folding, metabolic flux, enzyme kinetics, and molecular genetics becomes the benchmark that AI has to meet. No prior AI experience required — just a passion for scientific rigor and clear thinking.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Expert-Level Problems: Create challenging biochemistry problems across domains like nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to rigorously stress-test AI performance.
- Author Gold-Standard Solutions: Write precise, step-by-step technical solutions that serve as the scientific benchmark AI models are trained to replicate.
- Audit AI Reasoning: Evaluate AI-generated biochemical pathways, molecular structures, and quantitative analyses for accuracy, safety, and scientific integrity.
- Refine AI Thinking: Identify flaws in AI reasoning — such as incorrect stoichiometry, misapplied stereochemistry, or faulty metabolic logic — and provide structured feedback that directly improves model performance.
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Who You Are
- Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field.
- Deep Domain Knowledge: Strong foundations in one or more of structural biology, enzymology, cellular metabolism, bioinformatics, or molecular genetics.
- Clear Scientific Writer: Able to communicate complex biochemical and chemical concepts accurately and concisely in written form.
- Detail-Oriented: High precision when reviewing chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols.
- No prior AI or data annotation experience required.
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Nice to Have
- Experience with data annotation, quality evaluation, or scientific peer review.
- Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST.
- Background in bioinformatics or cheminformatics.
Why Join Us
- Work on cutting-edge AI projects alongside top AI research labs and teams.
- Fully remote and asynchronous — work on your own schedule, from anywhere.
- Freelance perks: autonomy, variety, and global collaboration.
- Make a meaningful impact on how AI reasons about life science — your expertise directly improves model quality.
- Potential for ongoing work and contract extension.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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