Biochemistry Subject Matter Expert - AI Content Specialist

Alignerr Corp.; United States; On-site; AUD 83,000 - 165,000; Full time

Job summary

Alignerr Corp. seeks a Biochemistry Subject Matter Expert (AI Training) for a fully remote hourly contract. PhD-level biochemists with deep domain knowledge are invited to apply, 10–40 hours/week.

You will design advanced problems across nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to stress-test AI performance; author gold-standard solutions; audit AI outputs; and identify reasoning failures to guide model improvements.

Qualifications

• PhD-level Biochemists to help train and refine AI models.
• PhD completed or in progress in Biochemistry, Molecular Biology, or related field.
• Deep domain knowledge in structural biology, enzymology, cellular metabolism, bioinformatics, or related disciplines.
• Clear technical communicator with precision and clarity in written form.

Responsibilities

• Design Advanced Problems — Create challenging biochemistry problems across domains like nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to stress-test AI performance
• Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as gold-standard benchmarks for AI scientific reasoning
• Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical derivations for technical accuracy
• Identify Reasoning Failures — Spot logical errors in AI reasoning and provide structured feedback to improve model performance

Skills

Biochemistry expertise

Scientific communication

Attention to detail

Education

PhD in Biochemistry/Molecular Biology

Tools

PyMOL

AlphaFold

BLAST

Job description

Biochemistry Subject Matter Expert (AI Training)

About The Role

We're looking for PhD-level Biochemists to help train and refine the next generation of AI models. Your deep expertise in areas like protein folding, enzyme kinetics, and metabolic flux will directly shape how AI reasons about life science — making a real impact on the future of scientific AI.

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 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 that serve as gold-standard benchmarks for AI scientific reasoning
• Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical derivations for technical accuracy and adherence to scientific standards
• Identify Reasoning Failures — Spot logical errors in AI reasoning — such as incorrect stoichiometry, flawed stereochemistry, or misapplied enzyme kinetics — and provide structured feedback to improve model performance

Who You Are

• Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field
• Deep Domain Knowledge: Strong expertise in one or more areas — structural biology, enzymology, cellular metabolism, bioinformatics, or related disciplines
• Clear Technical Communicator: Able to explain complex biological and chemical concepts with precision and clarity in written form
• Detail-Oriented: High level of rigor when reviewing chemical equations, molecular diagrams, and experimental logic
• No prior AI experience required

Nice to Have

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

Why Join Us

• Work on cutting-edge AI projects alongside world-leading AI research teams
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Gain firsthand exposure to how advanced large language models are trained and evaluated
• Potential for ongoing work and contract extension