Biochemistry Subject Matter Expert - AI Content Specialist

Alignerr Corp.; United States; Remote; MXN 2,052,000 - 3,078,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Freelance-friendly

Job summary

Alignerr Corp. is seeking PhD-level biochemists to shape AI reasoning in life sciences. Work fully remotely on an hourly contract, 10–40 hours per week, evaluating and improving AI models in areas like protein folding, metabolism, and genetics.

You will design advanced problems, author precise ground-truth solutions, and audit AI outputs to ensure scientific accuracy, working independently on your own schedule.

Qualifications

• PhD-level biochemists with deep biochemistry knowledge.
• Strong analytical ability to evaluate complex biochemical problems.
• Ability to translate technical concepts into clear written explanations.

Responsibilities

• Design challenging biochemistry problems across domains like nucleic acids, proteomics, structural biology, and drug-target interactions to test AI performance.
• Author ground-truth solutions with precise, step-by-step reasoning benchmarks for AI systems.
• Audit AI outputs—evaluate biochemical pathways, molecular structures, and proofs for accuracy.

Skills

Biochemistry

Molecular Biology

Structural Biology

Enzymology

Bioinformatics

Genetics

Education

PhD in Biochemistry or related field

Tools

PyMOL

AlphaFold

BLAST

Job description

Biochemistry Subject Matter Expert (AI Training)

We're looking for PhD-level Biochemists to help evaluate and improve the world's most advanced AI models. Your scientific expertise will directly shape how AI reasons through complex topics like protein folding, metabolic flux, enzyme kinetics, and molecular genetics — making a real impact on the future of AI in life sciences. This is a fully remote, flexible contract role. No prior AI experience is required — just deep biochemistry knowledge and a sharp analytical mind.

About The Role

• Organization: Alignerr


• Type: Hourly Contract


• Location: Remote


• Commitment: 10–40 hours/week

What You'll Do

• Design Challenging Problems — Create advanced biochemistry problems across domains like nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to rigorously test AI performance


• Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for high-level scientific reasoning in AI systems


• 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, flawed stereochemistry, or misapplied enzyme kinetics — and provide structured feedback to improve how AI models think through life science problems


• Work independently and asynchronously on your own schedule

Who You Are

• Advanced Degree: PhD completed or in final stages in Biochemistry, Molecular Biology, or a closely related field


• Domain Expertise: Strong foundational knowledge in one or more areas — structural biology, enzymology, cellular metabolism, bioinformatics, or molecular genetics


• Clear Communicator: Able to translate highly technical biological and chemical concepts into precise, well-structured written explanations


• Detail-Oriented: High level of precision when reviewing complex chemical equations, molecular diagrams, and experimental protocols


• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality review, or evaluation systems


• 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 alongside leading AI research labs


• Fully remote and flexible — work on your own schedule, from anywhere


• Freelance perks: autonomy, variety, and global collaboration


• Gain rare exposure to how advanced large language models are trained and evaluated


• Contribute to meaningful work that improves AI for the scientific community


• Potential for ongoing work and contract extension