Biochemist

Biochemist – AI Data Trainer

About The Role

Your deep expertise in biochemistry is exactly what the next generation of AI needs. At Alignerr, we partner with the world's leading AI research labs to train and refine cutting-edge scientific models — and we need PhD-level biochemists to help us get it right.

This is a fully remote, flexible contract role where your knowledge of protein folding, metabolic flux, enzyme kinetics, and molecular genetics directly shapes how AI reasons about life science. 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 Advanced Problems — Craft complex, domain-specific biochemistry challenges across areas like nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to rigorously test AI performance.
• Author Ground-Truth Solutions — Develop detailed, step-by-step technical solutions and "golden responses" that serve as benchmarks for high-level scientific reasoning in AI models.
• Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, reaction mechanisms, and mathematical proofs for technical accuracy and scientific validity.
• Refine AI Reasoning — Identify and document logical errors — such as incorrect stoichiometry, flawed stereochemistry, or misunderstood regulatory mechanisms — and provide structured feedback to improve model performance.

Who You Are

• Advanced Degree: PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related discipline.
• Domain Expertise: Strong foundational knowledge in one or more core areas such as structural biology, enzymology, cellular metabolism, genomics, or bioinformatics.
• Scientific Writer: Able to communicate highly technical biochemical and chemical concepts clearly, concisely, and with precision in written form.
• Detail-Oriented: High level of accuracy when reviewing complex chemical equations, molecular diagrams, metabolic pathways, and experimental protocols.
• No prior AI experience required — we'll get you up to speed.

Nice to Have

• Experience with data annotation, data quality assurance, or evaluation workflows.
• Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, BLAST, or similar platforms.
• Background in scientific peer review, technical writing, or research mentorship.

Why Join Us

• Work on high-impact AI projects alongside world-class research teams.
• Fully remote and asynchronous — work on your own schedule from anywhere.
• Contribute your scientific expertise to a field that's actively reshaping research and medicine.
• Freelance perks: autonomy, variety, and global collaboration.
• Potential for ongoing work and contract extension.