Biochemist

Biochemist – AI Data Trainer About The Role Your years of biochemistry expertise are more valuable than you think — even outside the lab. We're partnering with the world's leading AI research teams to build smarter, more scientifically accurate AI models, and we need PhD-level biochemists to make it happen. As a Biochemist AI Data Trainer, you'll challenge, audit, and refine advanced AI systems on topics like protein folding, metabolic flux analysis, enzyme kinetics, and molecular genetics. Your deep domain knowledge becomes the standard that AI must meet. This is a fully remote, flexible contract role — work on your own schedule, from anywhere.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week What You'll Do
• Design Complex Problems — Create advanced biochemistry challenges across domains like nucleic acid chemistry, proteomics, and drug-target interactions to rigorously test AI performance.
• Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as the gold standard benchmarks for AI scientific reasoning.
• Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and quantitative analyses for scientific accuracy, safety, and methodological soundness.
• Refine AI Reasoning — Identify flaws in AI logic — such as incorrect stoichiometry, misunderstood stereochemistry, or faulty enzyme kinetics — and provide structured feedback to improve model performance. Who You Are
• Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field.
• Deep Domain Knowledge: Strong expertise in at least one core area — structural biology, enzymology, cellular metabolism, bioinformatics, or related disciplines.
• Clear Scientific Communicator: Able to explain highly technical biological and chemical concepts in writing with precision and clarity.
• Detail-Oriented: High accuracy when reviewing complex chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols.
• No AI experience required — your scientific expertise is what matters. Nice to Have
• Experience with data annotation, quality evaluation, or academic peer review
• Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST
• Background in scientific writing, grant writing, or technical editing Why Join Us
• Work on cutting-edge AI projects alongside top research labs and AI teams
• Fully remote and asynchronous — work on your own schedule, wherever you are
• Freelance perks: autonomy, variety, and global collaboration
• Make a direct impact on how AI understands and communicates science
• Potential for ongoing work and contract extension