Biochemist - #189959

Biochemist – AI Data Trainer

About The Role

Your deep expertise in biochemistry is more valuable than ever — not just in the lab, but in shaping how the next generation of AI understands life science. At Alignerr, we partner with the world's leading AI research teams to build and refine cutting-edge models. We're looking for PhD-level Biochemists to challenge, evaluate, and improve AI reasoning across complex scientific domains.

This is a fully remote, flexible contract role where your scientific knowledge directly influences how AI thinks about protein folding, metabolic flux, enzyme kinetics, and more.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
  
  

What You'll Do

• Design Advanced Problems — Craft challenging biochemistry questions across domains like nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to rigorously stress-test AI performance.
• Author Ground-Truth Solutions — Develop precise, step-by-step technical responses that serve as gold-standard benchmarks for AI scientific reasoning.
• Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for technical accuracy, safety, and adherence to established scientific standards.
• Refine AI Reasoning — Identify logical errors — such as incorrect stoichiometry, misapplied stereochemistry, or flawed metabolic logic — and provide structured feedback that directly improves how models approach life science problems.
  
  

Who You Are

• PhD-level expertise in Biochemistry, Molecular Biology, or a closely related field (completed or in final stages)
• Strong domain knowledge in areas such as structural biology, enzymology, cellular metabolism, bioinformatics, or molecular genetics
• Clear scientific communicator — able to translate highly technical concepts into well-structured written explanations
• Detail-oriented — precise and methodical when reviewing complex equations, molecular diagrams, and experimental logic
• Self-motivated — comfortable working independently and asynchronously on your own schedule
• No prior AI or machine learning experience required
  
  

Nice to Have

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

Why Join Us

• Work on cutting-edge AI projects alongside world-class research teams
• Fully remote and flexible — work on your schedule, from anywhere
• Freelance autonomy with the structure of meaningful, high-impact projects
• Gain firsthand exposure to how advanced large language models are trained and evaluated
• Contribute to AI that could shape the future of scientific research and discovery
• Potential for ongoing work and contract extension