Geospatial Methodologist & AI Insight Auditor (Remote)

AuraOne, Inc.; United States; Remote; USD 180,000 - 256,000; Full time

Benefits offered by this job

PhD / Postdoc experience welcome

Experience with AI tooling review

Multilingual fluency

Job summary

AuraOne, Inc. is seeking a Market Research Methodologist - Report Quality & Insights Evaluation Expert for a remote contractor role focusing on geospatial science reasoning, calculations, and research workflows.

Reviewers grade derivations, reproduce key results, and document the correct method to train the modeling team. Responsibilities include reproducing derivations, auditing calculations, flagging errors, and maintaining inter-rater calibration scores, enabling high-integrity analytics

Qualifications

• Graduate-level training or equivalent applied experience in geospatial science 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 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 purposes.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Geospatial science

Education

Geospatial science, graduate-level

Job description

AuraOne, Inc. is seeking a Market Research Methodologist - Report Quality & Insights Evaluation Expert for a remote contractor role focusing on geospatial science reasoning, calculations, and research workflows.

Reviewers grade derivations, reproduce key results, and document the correct method to train the modeling team. Responsibilities include reproducing derivations, auditing calculations, flagging errors, and maintaining inter-rater calibration scores, enabling high-integrity analytics