Computational Seismology & Geophysics Expert

AI Trainer Jobs; United States; Remote; USD 96,000 - 117,000; Full time

Job summary

AuraOne is seeking a Computational Seismology & Geophysics Expert for a remote review track that evaluates AI outputs in earth science reasoning, calculations, and research workflows. Reviewers grade derivations, reproduce key results, and document the correct method so the modeling team can train with accurate examples.

Ideal candidates bring graduate-level earth science credentials and strong written reasoning, with the ability to apply rubrics across long batches and to work asynchronously

Qualifications

• Graduate-level training or equivalent in earth science or 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 earth science methods, conventions, and prior work for Computational Seismology & Geophysics 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.

Skills

Scientific reasoning

Citation review

Quantitative analysis

Earth science

Written communication

Education

Graduate-level training or equivalent in earth science or closely related field

Job description

Computational Seismology & Geophysics Expert is a remote review track for evaluating AI outputs across earth 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: $70–$85 / hr · Location: Remote — US-eligible · Contractor

Computational Seismology & Geophysics Expert is a remote review track for evaluating AI outputs across earth science reasoning, calculations, and research workflows.

About the role

Computational Seismology & Geophysics Expert is a remote review track for evaluating AI outputs across earth 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.
Earth 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 earth science methods, conventions, and prior work for Computational Seismology & Geophysics 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 $70–$85 / hr Eligible from US

What you should bring

• Graduate-level training or equivalent applied experience in earth science or a closely related field for Computational Seismology & Geophysics 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.

Example tasks

• Reproduce a earth 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

$70–$85 / 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
• Earth science