User/customer research and feedback synthesis Evaluator

AuraOne; United States; On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Remote work

Job summary

AI Trainer Jobs in the United States is seeking remote Evaluators to review AI outputs against user research methods, reproduce key steps, and document the correct method so the modeling team can train on it. Reviewers grade derivations, check assumptions, reproduce results, and capture the right method alongside the wrong one.

We value scientific and technical domain expertise, multilingual ability, and reliable async availability for at least 10 hours per week.

Qualifications

• Graduate-level training or equivalent applied experience in user/customer research and feedback synthesis research review or a closely related field.
• 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 user/customer research and feedback synthesis research review methods, conventions, and prior work for Evaluator 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

User/customer research

Education

PhD/doctorate or industry research experience

Tools

Rubrics

Documentation

Job description

About the role

User/customer research and feedback synthesis Evaluator is a remote review track for evaluating AI outputs across user/customer research and feedback synthesis 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.
User/customer research and feedback synthesis 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 user/customer research and feedback synthesis research review methods, conventions, and prior work for User/customer research and feedback synthesis Evaluator 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 $80–$120 / hr Eligible from US

What you should bring

• Graduate-level training or equivalent applied experience in user/customer research and feedback synthesis research review or a closely related field for User/customer research and feedback synthesis Evaluator 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 user/customer research and feedback synthesis 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

$80–$120 / 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
• User/customer research and feedback synthesis research review