Computational Biology AI Reviewer

AuraOne, Inc.; United States; Remote; USD 55,000 - 83,000; Full time

Job summary

AuraOne, Inc. is seeking a Computational Biology AI Reviewer to remotely assess AI outputs across biology reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce key results, and document methods to train the modeling team.

This independent contractor role requires graduate-level biology training or equivalent experience, strong written reasoning citing papers, and reliable async availability for at least 10 hours per week. US-eligible remote work.

Qualifications

• Graduate-level biology training or equivalent applied experience.
• Experience publishing, teaching, or advising on the topic at a professional level.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that cites methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current biology methods and conventions.
• Reproduce or sanity-check key derivations, calculations, or claims.
• Flag errors with structured severity tags.
• Capture corrected reasoning or worked examples for training.
• Adjudicate disputed answers against textbooks, papers, or standards.
• Maintain reviewer-quality scores in calibration cycles.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Biology

Research review

Computational

Education

Graduate-level biology training

Job description

Computational Biology AI Reviewer is a remote review track for evaluating AI outputs across biology reasoning, calculations, and research workflows. Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.

Why this role matters

Biology models live or die on whether their derivations actually hold up under scrutiny. AuraOne uses scientific specialists to grade outputs the way a peer reviewer would — checking assumptions, reproducing key steps, and capturing the right method alongside the wrong one.

Responsibilities

• Review AI outputs against current biology methods, conventions, and prior work for Computational Biology AI Reviewer assignments.
• Reproduce or sanity-check key derivations, calculations, or experimental claims.
• Flag dimensional, methodological, and citation errors with structured severity tags.
• Capture the corrected reasoning or worked example so the modeling team can train on it.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Qualifications

• Graduate-level training or equivalent applied experience in biology or a closely related field for Computational Biology AI Reviewer work.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that cites methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Example tasks

• Reproduce a biology derivation from a model output and flag any algebraic or dimensional errors.
• Grade a model's literature summary against the cited papers and rate the citation quality.
• Adjudicate a disputed answer between two reviewers using textbook methods.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Nice to have

• PhD, postdoc, or industry research experience in the topic area.
• Prior work reviewing AI-assisted research tooling and its failure modes.
• Multilingual fluency for non-English papers and corpora.

Skills

• Scientific reasoning
• Method validation
• Citation review
• Quantitative analysis
• Biology
• Research review
• Computational

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.