Alignerr
Biochemist
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Biochemist
Biochemist – AI Data Trainer
About The Role
Your biochemistry expertise is more valuable than ever—not just in the lab, but in shaping the next generation of AI. Alignerr partners with the world’s leading AI research teams to build and refine cutting-edge models, and we need PhD-level Biochemists to help us ensure scientific accuracy.
In this fully remote contract role, you’ll apply your deep knowledge of protein folding, metabolic flux, enzyme kinetics, and molecular genetics—challenging AI systems, flagging their weaknesses, and helping them reason more effectively about life sciences. No AI background required—just rigorous scientific thinking and a passion for precision.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You’ll Do
- Design Complex Problems: Create advanced biochemistry challenges across nucleic acid chemistry, proteomics, and drug-target interactions to rigorously test AI performance.
- Author Ground-Truth Solutions: Develop detailed, step-by-step technical solutions and "golden responses" serving as scientific benchmarks for high-level AI reasoning.
- Audit AI Outputs: Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for accuracy, safety, and adherence to scientific standards.
- Refine AI Reasoning: Identify logical errors—such as incorrect stoichiometry, flawed stereochemistry, or misapplied enzymatic principles—and provide structured feedback to improve how models think through life science problems.
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Who You Are
Essential Qualifications
- Advanced Degree: PhD (completed or nearly completed) in Biochemistry, Molecular Biology, or a related field.
- Deep Domain Knowledge: Strong expertise in structural biology, enzymology, cellular metabolism, or bioinformatics.
- Scientific Writer: Ability to clearly, concisely, and accurately communicate complex biological/chemical concepts in writing.
- Detail-Oriented: High precision when reviewing chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols.
- No AI experience required—training provided.
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Nice-to-Haves
- Experience with data annotation, quality evaluation, or research review workflows.
- Familiarity with computational biochemistry tools (e.g., PyMOL, AlphaFold, BLAST).
- Background in scientific publishing, peer review, or technical writing.
Why Join Us?
- Work on high-impact AI projects alongside top research labs and scientists.
- Fully remote and flexible—design your own schedule.
- Contribute meaningfully to AI that shapes global scientific research.
- Freelance autonomy with the collaborative energy of a world-class team.
- Potential for ongoing work and contract extensions as projects scale.
“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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