Life Sciences Research Assistant

AI Trainer Jobs; United States; Remote; USD 34,000 - 83,000; Part time

Job summary

AI Trainer Jobs is seeking a Life Sciences Research Assistant to remotely review and grade AI outputs within life sciences research workflows. You will reproduce key derivations, check calculations, and document proper methods to train the modeling team.

The role emphasizes scientific expertise, the ability to apply peer-review style scrutiny, and clear, cited reasoning. Remote work, contractor status, and flexible pacing are expected.

Qualifications

• Graduate-level training or equivalent in life sciences research review.
• Experience publishing, teaching, or advising 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 life sciences research review methods, conventions, and prior work for Life Sciences Research Assistant 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.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Life Sciences research review

Education

PhD, postdoc, or industry research experience

Job description

About the role

Life Sciences Research Assistant is a remote review track for evaluating AI outputs across life sciences research assistant research review 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.
Life Sciences Research Assistant research review 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 life sciences research assistant research review methods, conventions, and prior work for Life Sciences Research Assistant 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.

Role details

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 life sciences research assistant research review or a closely related field for Life Sciences Research Assistant 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 life sciences research assistant research review 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
• Life Sciences Research Assistant research review