Engineering PhD — AI Technical Reasoning Review (Remote)

AuraOne Human Data; United States; A distancia; USD 55.000 - 83.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote contract

US-eligible

Flexible hours

Descripción de la vacante

AuraOne, Inc. is seeking an Engineering PhD — AI Technical Reasoning Review contractor to assess and document derivations, reproduce key steps, and annotate correct methods for model training. The role is remote with US eligibility and requires clear written reasoning and independent work.

The reviewer will grade outputs, reproduce results, and flag errors using standard rubrics, contributing to building robust AI reasoning workflows.

Formación

• Graduate-level training or equivalent applied experience in engineering phd research review 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.

Responsabilidades

• Review AI outputs against current engineering phd research review methods, conventions, and prior work for Engineering PhD — AI Technical Reasoning Review (Remote) 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.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer‑quality scores in inter‑rater calibration cycles.

Conocimientos

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Engineering PhD research review

Educación

Engineering PhD or related field

Descripción del empleo

Engineering PhD — AI Technical Reasoning Review (Remote) is a remote review track for evaluating AI outputs across engineering phd 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.

Why this role matters

Engineering PhD 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.

Responsibilities

• Review AI outputs against current engineering phd research review methods, conventions, and prior work for Engineering PhD — AI Technical Reasoning Review (Remote) 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.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer‑quality scores in inter‑rater calibration cycles.

Qualifications

• Graduate-level training or equivalent applied experience in engineering phd research review or a closely related field for Engineering PhD — AI Technical Reasoning Review (Remote) 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 an engineering phd 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.

Nice to have

• 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.

Skills

• Scientific reasoning
• Method validation
• Citation review
• Quantitative analysis
• Engineering PhD research review

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

• Graduate-level training or equivalent applied experience in engineering phd research review or a closely related field for Engineering PhD — AI Technical Reasoning Review (Remote) 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.