Research Study Participant (Paid, In-Person)

AuraOne; United States; On-site; USD 96,432,000 - 129,494,000; Full time

Job summary

AI Trainer Jobs is seeking a Research Study Participant (Paid, In-Person) contractor to review AI outputs and verify derivations, calculations, and methods. You will document the correct reasoning so the modeling team can train on it.

Responsibilities include reproducing key results, auditing examples, and applying structured severity tags to errors. A PhD or equivalent research background with strong written reasoning is preferred.

Qualifications

• Graduate-level training or equivalent applied experience in research study participant research review.
• 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.

Responsibilities

• Review AI outputs against current research study participant research review methods, conventions, and prior work for 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

Research review

Education

PhD

Job description

About the role

Research Study Participant (Paid, In-Person) is a remote review track for evaluating AI outputs across research study participant 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.
Research Study Participant 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 research study participant research review methods, conventions, and prior work for Research Study Participant (Paid, In-Person) 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 $40 / hr Eligible from US

What you should bring

• Graduate-level training or equivalent applied experience in research study participant research review or a closely related field for Research Study Participant (Paid, In-Person) 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 research study participant 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

$40 / 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
• Research Study Participant research review