Biochemistry Subject Matter Expert - AI Content Specialist
We're looking for PhD-level Biochemists to help train and refine cutting-edge AI models on advanced life science topics.
Hiring companyAlignerr
About the role
Your deep domain expertise will directly shape how AI understands and reasons through complex biochemical concepts — from protein folding to metabolic flux analysis.
This is a unique opportunity to apply your scientific knowledge beyond the lab, contribute to transformative AI research, and work entirely on your own schedule.
Why Join Us
- Work on intellectually stimulating problems at the frontier of AI and life science.
- Fully remote and flexible — work when and as much as you choose.
- Collaborate with a global network of scientists and researchers.
- Gain firsthand exposure to how advanced large language models are built and trained.
- Freelance autonomy with the potential for ongoing work and contract extension.
Responsibilities
- Design Advanced Problems — Craft challenging biochemistry questions across domains like nucleic acid chemistry, proteomics, enzyme kinetics, and drug-target interactions to rigorously test AI performance.
- Author Ground-Truth Solutions — Develop precise, step-by-step scientific responses that serve as benchmarks for high-level AI reasoning in the life sciences.
- Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for technical accuracy and adherence to scientific standards.
- Refine AI Reasoning — Identify logical errors such as incorrect stoichiometry or misapplied stereochemistry, and provide structured feedback to improve the model's scientific thinking.
- Work Independently — Complete tasks asynchronously on your own schedule with full remote flexibility.
Required skills
- Strong foundational expertise in areas such as structural biology, enzymology, cellular metabolism, or bioinformatics.
- Able to communicate complex biological and chemical concepts clearly and precisely in writing.
- High attention to detail when reviewing chemical equations, molecular diagrams, and experimental protocols.
- Self-motivated and comfortable working independently.
Preferred skills
- Experience with data annotation, quality evaluation, or review systems.
- Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST.
- Background in scientific writing, peer review, or technical editing.
Experience and education
- Holds a PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related field.
- No prior AI experience required.
Schedule details
10–40 hours per week.
Eligibility
Work arrangement: Fully remote
Eligible regions: Atlanta
Compensation details
$35–$70 per hour.
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