Remote Biochemist — AI Data Trainer & Benchmark Designer

Alignerr Corp.; Sheffield (TX); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr seeks a PhD‑level Biochemist for a fully remote, hourly contract to train AI on complex biochemical data. You will craft rigorous biochemistry challenges, write precise gold‑standard solutions, and audit AI outputs for accuracy and safety.

Ideal candidates communicate complex ideas clearly, demonstrate deep domain knowledge, and can work independently in an async environment. Remote, flexible hours and potential for ongoing work are offered.

Qualifications

• PhD required or in final stages with strong biochem background.
• Deep knowledge of protein folding, enzymology, and metabolism.
• Ability to communicate complex concepts clearly in writing.
• Experience with AI or data annotation is a plus.

Responsibilities

• Design Expert‑Level Problems — Craft advanced biochemistry challenges spanning nucleic acid chemistry, proteomics, structural biology, and drug‑target interactions to rigorously stress‑test AI performance
• Author Ground‑Truth Solutions — Write precise, step‑by‑step technical responses that serve as gold‑standard benchmarks for AI reasoning in life sciences
• Audit AI Outputs — Evaluate AI‑generated biochemical pathways, molecular structures, and mathematical derivations for scientific accuracy, safety, and adherence to established standards
• Refine AI Reasoning — Identify and document failures in AI logic — such as incorrect stoichiometry, flawed stereochemistry, or misapplied enzyme mechanisms — and provide structured feedback to improve model performance

Skills

Biochemistry expertise

Structural biology

Enzymology

Molecular genetics

Bioinformatics

Education

PhD in Biochemistry, Molecular Biology, or related field

Tools

PyMOL

AlphaFold

BLAST

Job description

Alignerr seeks a PhD‑level Biochemist for a fully remote, hourly contract to train AI on complex biochemical data. You will craft rigorous biochemistry challenges, write precise gold‑standard solutions, and audit AI outputs for accuracy and safety.

Ideal candidates communicate complex ideas clearly, demonstrate deep domain knowledge, and can work independently in an async environment. Remote, flexible hours and potential for ongoing work are offered.