Geospatial Analysis Specialist (QGIS)

AI Trainer Jobs; United States; Remote; USD 141,000 - 190,000; Full time

Job summary

AI Trainer Jobs is seeking a Geospatial Analysis Specialist (QGIS) to remotely review AI outputs in geospatial science. You will assess reasoning, reproduce key results, and document methods so the modeling team can train on it.

The role emphasizes scientific rigor, multi-page rubrics, and clear written reasoning, with an hourly compensation model and flexible weekly availability for at least 10 hours.

Qualifications

• PhD, postdoc, or industry research experience in geospatial science or a closely related field.
• Hands-on experience publishing, teaching, or advising on geospatial topics 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 experiments.
• 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

Geospatial analysis

Quantitative analysis

Scientific reasoning

Method validation

Citations review

Multilingual fluency

Education

PhD or equivalent

Tools

QGIS

Job description

Geospatial Analysis Specialist (QGIS) 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.

Category: Scientific AI & Domain Experts · Pay: $120 / hr · Location: Remote — US-eligible · Contractor

Geospatial Analysis Specialist (QGIS) is a remote review track for evaluating AI outputs across geospatial science reasoning, calculations, and research workflows.

About the role

Geospatial Analysis Specialist (QGIS) 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 Geospatial Analysis Specialist (QGIS) 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 geospatial science or a closely related field for Geospatial Analysis Specialist (QGIS) 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

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
• Geospatial science