Biochemist

Alignerr Corp.; Atlanta (GA); Remote; USD 55,000 - 138,000; Part time

Job summary

Alignerr is seeking a PhD-level Biochemist to train AI data for life sciences in a fully remote hourly contract. You will work 10–40 hours per week on protein folding, metabolic flux, enzyme kinetics, and molecular genetics to guide AI reasoning.

Responsibilities include designing expert-level problems, authoring ground-truth solutions, and auditing AI outputs for accuracy and safety. Strong communication and meticulous attention to detail are essential.

Qualifications

• PhD in Biochemistry, Molecular Biology, or a closely related field (completed or in final stages).
• Strong foundational expertise in structural biology, enzymology, cellular metabolism, or bioinformatics.
• Able to communicate highly technical biochemical concepts clearly in written form.
• High attention to detail when reviewing complex chemical equations, molecular diagrams, and experimental protocols.

Responsibilities

• Design expert-level biochemistry problems across domains to stress-test AI performance.
• Author ground-truth solutions and golden responses for AI benchmarks.
• Audit AI outputs for scientific accuracy, safety, and adherence to established standards.
• Refine AI reasoning by identifying errors and providing structured feedback to improve model performance.

Skills

Clear written communication

Independent working

Rigorous scientific thinking

Attention to detail

Education

PhD in Biochemistry, Molecular Biology, or closely related field

Tools

PyMOL

AlphaFold

BLAST

Job description

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 build and refine cutting-edge models — and we need PhD-level Biochemists to help us get the science right.

This is a fully remote, flexible contract role where your knowledge of protein folding, metabolic flux, enzyme kinetics, and molecular genetics directly shapes how AI reasons about life science. No prior AI experience required — just rigorous scientific thinking and a passion for accuracy.

• 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 rigorously stress-test AI performance.
• Author Ground-Truth Solutions — Write precise, step-by-step technical solutions and “golden responses” that serve as scientific benchmarks for AI reasoning.
• Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and quantitative analyses for scientific accuracy, safety, and adherence to established standards.
• Refine AI Reasoning — Identify logical errors in AI responses — such as incorrect stoichiometry, flawed stereochemistry, or misapplied biochemical principles — and provide structured feedback to improve model performance.

Who You Are

• PhD in Biochemistry, Molecular Biology, or a closely related field (completed or in final stages)
• Strong foundational expertise in one or more core areas: structural biology, enzymology, cellular metabolism, or bioinformatics
• Able to communicate highly technical biochemical and chemical concepts clearly in written form
• High attention to detail when reviewing complex chemical equations, molecular diagrams, and experimental protocols
• Self-motivated, reliable, and comfortable working independently
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality, or evaluation 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 high-impact AI projects in partnership with top research labs
• Fully remote and async — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Gain firsthand exposure to advanced large language models and how they’re trained
• Meaningful work that advances the accuracy of AI in scientific research
• Potential for ongoing work and contract extension