Biochemist

About the Role

Your deep expertise in biochemistry is more valuable than you might think — beyond the lab. Alignerr partners with the world's leading AI research teams to build and train cutting-edge scientific AI models, and we need PhD-level biochemists to help get it right.

Fully remote. Flexible hours. No AI experience required.

What You'll Do

• Design Expert-Level Problems — Craft advanced biochemistry challenges across domains such as 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 responses that serve as scientific benchmarks for AI reasoning in life sciences.
• Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical derivations for technical accuracy, logical consistency, and adherence to scientific standards.
• Refine AI Reasoning — Identify failures in AI logic — such as incorrect stoichiometry, flawed stereochemistry, or misapplied enzyme kinetics — and provide structured feedback to improve model performance.

Who You Are

• PhD-level expertise in Biochemistry, Molecular Biology, or a closely related field (completed or in final stages)
• Strong foundational knowledge in one or more core areas: structural biology, enzymology, cellular metabolism, bioinformatics, or molecular genetics
• Able to communicate highly technical biological and chemical concepts clearly and precisely in written form
• High attention to detail when reviewing complex equations, molecular diagrams, and experimental protocols
• Self-motivated and comfortable working independently and asynchronously

Nice to Have

• Experience with data annotation, data quality, or evaluation workflows
• Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST
• Background in scientific writing, peer review, or academic publishing

Why Join Alignerr

• Work on cutting-edge AI projects alongside world-class research labs
• Full remote and flexible — work on your own schedule, 10–40 hours/week
• Freelance autonomy with the opportunity to contribute to genuinely impactful science
• Gain rare exposure to how advanced large language models are trained and evaluated
• Potential for ongoing work and contract extension