Market Research Methodologist - Report Quality & Insights Evalua

AI Trainer Jobs; United States; Remote; USD 185,000 - 251,000; Part time

Job summary

AI Trainer Jobs is seeking a Market Research Methodologist to remotely evaluate AI outputs in geospatial reasoning and data workflows. You will review methods, reproduce key steps, and document the correct approach so the modeling team can train on it.

As an independent contractor, you will work with program-defined task volume, pace reviews, and contribute to rigorous quality assurance. Applicants should have advanced geospatial expertise and strong written reasoning.

Qualifications

• PhD, postdoc, or industry research experience in geospatial science.
• Experience reviewing AI-assisted research tooling and its failure modes.
• Multilingual fluency for non-English papers and corpora.
• Clear written reasoning that cites methods, papers, or worked examples.

Responsibilities

• Review AI outputs against current geospatial science methods, conventions, and prior work.
• 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 for training data.

Skills

Geospatial science

Scientific reasoning

Written communication

Independent contractor mindset

Education

PhD, postdoc, or equivalent research experience

Job description

Market Research Methodologist - Report Quality & Insights Evaluation Expert is a remote review track for evaluating AI outputs across geospatial science 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.

About the role

Market Research Methodologist - Report Quality & Insights Evaluation Expert is a remote review track for evaluating AI outputs across geospatial science 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.
Geospatial science 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 geospatial science methods, conventions, and prior work for Market Research Methodologist - Report Quality & Insights Evaluation 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.

Role details

Track STEM research review Work model Remote · Independent specialist contractor Compensation $158 / hr Eligible from US

What you should bring

• Graduate-level training or equivalent applied experience in geospatial science or a closely related field for Market Research Methodologist - Report Quality & Insights Evaluation 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 geospatial science 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

$158 / 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 I