Computational Biology Expert

AI Trainer Jobs; United States; Remote; USD 152,000 - 179,000; Full time

Job summary

AI Trainer Jobs is seeking a Computational Biology Expert for a remote review track. The role evaluates AI outputs in biology reasoning, calculations, and research workflows, with emphasis on grading derivations, reproducing results, and documenting methods for training datasets.

The contractor position pays $120 per hour, US-eligible, with flexible remote work and program-defined task pacing. Candidates should bring PhD-level or equivalent research experience in biology and strong analytical

Qualifications

• Graduate-level or equivalent training in biology or related field.
• Experience publishing, teaching, or advising on biology topics.

Responsibilities

• Review AI outputs against biology methods and prior work.
• Reproduce or sanity-check key derivations or claims.
• Flag errors with structured severity tags and provide corrected reasoning.
• Document the process to train modeling teams on correct methods.

Skills

Biology

Scientific reasoning

Quantitative analysis

Method validation

Citation review

Multilingual fluency

Academic publishing

Education

PhD or equivalent

Job description

Computational 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: $120 / hr · Location: Remote — US-eligible · Contractor

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

Role details

About the role

Computational Biology Expert is a remote review track for evaluating AI outputs across biology reasoning, calculations, and research workflows.
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 Computational 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.Track STEM research review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Graduate-level training or equivalent applied experience in biology or a closely related field for Computational 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.

Role signals

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

Hourly rate confirmed after the interview process.
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.