Earth and Space Sciences Professor

AI Trainer Jobs; United States; Remote; USD 152,000 - 179,000; Full time

Job summary

AuraOne seeks an Earth and Space Sciences Professor reviewer for remote, contract-based work to assess AI outputs, reproduce key results, and document correct methods for training data. You will grade derivations, check assumptions, and ensure rigorous, publishable reasoning across earth and space sciences topics.

The role emphasizes independent work, multilingual capability, and the ability to apply established rubrics to long batches while maintaining high accuracy and clear citations.

Qualifications

• Graduate-level or higher expertise in earth and space sciences review.
• Proven ability to publish, teach, or advise on the topic at a professional level.
• Clear written reasoning citing methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current earth and space sciences review methods.
• Reproduce or sanity-check key derivations and claims.
• Flag dimensional, methodological, and citation errors with severity tags.
• Capture corrected reasoning or worked examples for training.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Earth/Astronomy review

AI model training

Astronomy

Curriculum development

Digital platforms

Earth sciences

Geology

Instructional design

Multilingual

Education

PhD or equivalent in Earth/Space sciences

Job description

Earth and Space Sciences Professor is a remote review track for evaluating AI outputs across earth and space sciences professor 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.

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

Earth and Space Sciences Professor is a remote review track for evaluating AI outputs across earth and space sciences professor research review reasoning, calculations, and research workflows.

About the role

Earth and Space Sciences Professor is a remote review track for evaluating AI outputs across earth and space sciences professor 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.
Earth and Space Sciences Professor 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 earth and space sciences professor research review methods, conventions, and prior work for Earth and Space Sciences Professor 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 earth and space sciences professor research review or a closely related field for Earth and Space Sciences Professor 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 earth and space sciences professor 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

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
• Earth and Space Sciences Professor research review
• ai model training
• astronomy
• curriculum development
• digital learning platforms
• earth sciences
• geology
• instructional design