Biology PhD Coding Experts

AI Trainer Jobs; United States; Remote; USD 83,000 - 110,000; Full time

Benefits offered by this job

Remote work

Competitive pay

Job summary

AuraOne seeks a remote contractor for Biology PhD Coding Experts to evaluate AI outputs in biology reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce key results, and document the correct method for training the modeling team.

Ideal candidates hold PhD-level biology or equivalent research experience, with strong writing and citation skills. This role requires reliable async availability and a willingness to work across long batches and rubrics.

Qualifications

• Graduate-level training or equivalent applied biology experience.
• Hands-on publishing/teaching/advising at a professional level.
• Comfort applying multi-page rubrics to long batches.
• Clear written reasoning citing methods/papers/worked examples.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against biology methods, conventions, and prior work.
• Reproduce or sanity-check key derivations, calculations, or claims.
• Flag dimensional, methodological, and citation errors with structured severity tags.
• Capture corrected reasoning or worked examples for model training.
• Adjudicate disputed answers against textbooks or papers.

Skills

Biology expertise

Scientific reasoning

Citation review

Quantitative analysis

Multilingual (non‑English papers)

Education

PhD or equivalent (biology)

Job description

Biology PhD Coding Experts 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.

Category: Scientific AI & Domain Experts · Pay: $70 / hr · Location: Remote — US-eligible · Contractor

Biology PhD Coding Experts is a remote review track for evaluating AI outputs across biology reasoning, calculations, and research workflows.

Role details

About the role

Reviewers grade derivations and assumptions, reproduce key results, and document the correct method so the modeling team can train on it.
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.
Bring scientific and technical domain expertise into AI reasoning, research, and dataset review.

Responsibilities

• Review AI outputs against current biology methods, conventions, and prior work for Biology PhD Coding Experts 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.

What you should bring

• Graduate-level training or equivalent applied experience in biology or a closely related field for Biology PhD Coding Experts 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.

Useful experience

• 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.

Compensation and schedule

$70 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

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