Biochemist — AI Data Trainer

About The Role

What if your biochemistry expertise could help shape how the next generation of AI understands science?

Alignerr partners with the world's leading AI research labs to build and refine cutting-edge AI models. We're looking for PhD-level Biochemists to stress-test and improve advanced AI systems on complex scientific topics — from protein folding and enzyme kinetics to metabolic flux and molecular genetics. Your domain knowledge will directly influence how AI reasons through life science problems.

This is a fully remote, adaptable contract role. No AI background required — just deep biochemistry expertise and sharp analytical thinking.

What You'll Do

• Design Challenging Problems — Develop advanced biochemistry questions across domains like nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to rigorously probe AI performance.
• Create Gold-Standard Solutions — Author detailed, step-by-step technical responses that serve as benchmarks for high-level scientific reasoning in AI systems.




• Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and quantitative analyses for scientific accuracy, logical consistency, and safety.
• Refine AI Reasoning — Identify and document specific failure modes — such as stoichiometric errors, stereochemistry mistakes, or flawed mechanistic reasoning — 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 areas such as enzymology, structural biology, cellular metabolism, or bioinformatics
• Ability to communicate complex biological and chemical concepts clearly and precisely in writing
• Exceptionally detail-oriented when reviewing chemical equations, molecular diagrams, and experimental logic
• Self-motivated and comfortable working independently in an async

📌 Biochemist (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México