Biology Expert

AI Trainer Jobs; United States; Remote; USD 88,000 - 118,000; Full time

Job summary

AI Trainer Jobs is seeking a Biology Expert for a remote review track to evaluate AI outputs in biology reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce key results, and document methods to train the modeling team.

Biology models hinge on sound derivations; this role requires graduate-level biology expertise, publication or teaching experience, and the ability to apply rubrics consistently across large batches.

Qualifications

• Graduate-level training or equivalent applied experience in biology or closely related field.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.

Responsibilities

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

Skills

Biology reasoning

Scientific reasoning

Citation review

Quantitative analysis

Multilingual understanding

Education

PhD or equivalent research experience

Job description

Biology Expert 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: $75 / hr · Location: Remote — US-eligible · Contractor

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

Role details

Track

About the role

Biology Expert 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.
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 Expert 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 Expert 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

$75 / 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

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.