Biochemistry Subject Matter Expert - AI Content Specialist

Alignerr Corp.; Glasgow; Remote; GBP 34,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr is seeking a Biochemistry Subject Matter Expert to help train and refine AI models. PhD-level biochemists will design problems, author solutions, and audit AI outputs to improve scientific reasoning. This is a fully remote, hourly contract with flexible 10–40 hours per week, worldwide.

Ideal candidates hold an advanced degree in biochemistry or related fields, with strong domain knowledge in enzymology, metabolism, or bioinformatics. Experience with PyMOL, AlphaFold, or BLAST is a plus.

Qualifications

• Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field
• Domain Expertise: Strong foundational knowledge in structural biology, enzymology, metabolism, or bioinformatics
• Clear Communicator: Able to explain complex biological concepts in precise written form
• Detail-Oriented: High accuracy when reviewing equations, diagrams, and protocols
• No prior AI experience

Responsibilities

• Design advanced problems across nucleic acid chemistry, proteomics, enzyme kinetics, and drug-target interactions
• Author gold-standard solutions with precise, step-by-step reasoning
• Audit AI outputs for technical accuracy and adherence to scientific standards
• Refine AI reasoning by identifying errors and providing structured feedback

Skills

Biochemistry

Molecular Biology

Structural Biology

Enzymology

Bioinformatics

Clear Communication

Detail-Oriented

Education

PhD in Biochemistry / Molecular Biology

Tools

PyMOL

AlphaFold

BLAST

Job description

Biochemistry Subject Matter Expert (AI Training)

We're looking for PhD-level Biochemists to help train and refine the next generation of AI models. Your deep scientific expertise will directly shape how AI reasons through complex biochemical problems — from protein folding to metabolic flux analysis — making a real impact on how AI is used in life sciences and scientific research.

About The Role

This is a fully remote, flexible contract role. No prior AI experience required.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Problems — Create challenging biochemistry problems across domains such as nucleic acid chemistry, proteomics, enzyme kinetics, and drug-target interactions to rigorously test AI performance
• Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for high-level AI scientific reasoning
• 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 in AI responses — such as incorrect stoichiometry, flawed stereochemistry, or misapplied mechanisms — and provide structured feedback to improve model quality

Who You Are

• Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field
• Domain Expertise: Strong foundational knowledge in one or more areas such as structural biology, enzymology, cellular metabolism, or bioinformatics
• Clear Communicator: Able to explain complex biological and chemical concepts in precise, well-structured written form
• Detail-Oriented: High level of accuracy when reviewing chemical equations, molecular diagrams, and experimental protocols
• No prior AI experience

Nice to Have

• Experience with data annotation, data quality evaluation, or content review workflows
• Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST
• Background in scientific writing, peer review, or academic publishing

Why Join Us

• Work on cutting-edge AI projects in partnership with world-leading AI research labs
• Fully remote and flexible — work on your own schedule, anywhere in the world
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that advances AI's ability to reason scientifically
• Exposure to how advanced large language models are built and evaluated
• Potential for ongoing work and contract extension