Biochemist

Job summary

Create advanced biochemistry problems and rigorous ground-truth solutions to benchmark AI reasoning. Audit AI-generated scientific outputs, identify technical and logical errors, and provide structured feedback to improve accuracy and safety.

Job details

Biochemist – AI Data Trainer About The Role Your deep expertise in biochemistry is exactly what the next generation of AI needs. At Alignerr, we partner with the world's leading AI research labs to train and refine cutting-edge models — and we need PhD-level biochemists to make sure those models get the science right. This is a fully remote, flexible contract role where you'll use your domain knowledge to challenge, audit, and improve how AI reasons through complex biochemical problems — from protein folding to enzyme kinetics. No AI background required. If you can spot a flawed metabolic pathway or a stoichiometry error, you're exactly who we're looking for. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design Expert-Level Problems — Craft advanced biochemistry challenges across domains like nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to stress-test AI reasoning. Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for high-level scientific accuracy. Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for technical correctness, safety, and adherence to scientific standards. Identify and Fix Reasoning Errors — Catch logical failures like incorrect stoichiometry, misunderstood stereochemistry, or flawed mechanistic reasoning, and provide structured feedback to improve AI thinking. Who You Are Holds a PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related field Strong foundational knowledge in one or more of: structural biology, enzymology, cellular metabolism, or bioinformatics Able to communicate highly technical concepts clearly and precisely in writing Detail-oriented — you notice errors in complex equations, molecular diagrams, and experimental logic Self-directed and comfortable working asynchronously on your own schedule No prior AI experience required Nice to Have Experience with data annotation, quality evaluation, or academic peer review Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST Why Join Us Work on some of the most advanced AI projects in the world, alongside top research labs Fully remote and flexible — work on your own terms, on your own schedule Contribute to work that directly shapes how AI understands life science Freelance perks: autonomy, variety, and global collaboration Potential for ongoing work and contract extension

What you’ll do

Create advanced biochemistry problems and rigorous ground-truth solutions to benchmark AI reasoning. Audit AI-generated scientific outputs, identify technical and logical errors, and provide structured feedback to improve accuracy and safety.

Requirements

A completed or near-completion PhD in biochemistry, molecular biology, or a closely related field is required, along with strong foundational knowledge in at least one relevant area such as structural biology, enzymology, cellular metabolism, or bioinformatics. Candidates must communicate technical concepts clearly in writing, work with precision, and be comfortable working independently and asynchronously; prior AI experience is not required.

Benefits

• Flexible Schedule
• Remote Work
• Autonomy
• Varied Work
• Global Collaboration
• Potential for Ongoing Work and Contract Extension

Listed skills

• Évaluation · Preferred
• Technical · Preferred
• precision · Preferred
• Organization · Preferred
• Collaboration · Preferred
• Attention to detail · Preferred
• Detail-oriented · Preferred
• safety · Preferred
• Accuracy · Preferred
• Audit · Preferred
• Flexible · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Biochemistry
• Molecular Biology
• Structural Biology
• Enzymology
• Cellular Metabolism
• Bioinformatics
• Protein Folding
• Nucleic Acid Chemistry
• Proteomics
• Drug-Target Interactions
• Scientific Writing
• Technical Evaluation
• Quality Evaluation
• Data Annotation
• PyMOL
• AlphaFold

Job areas

• Science & Research
• Technology
• Data & Analytics

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