Hardware Expert (MSc. or PhD) — AI Technical Reasoning Review

AuraOne; United States; Remote; USD 141,000 - 190,000; Part time

Job summary

AuraOne seeks a Hardware Expert (MSc. or PhD) for AI Technical Reasoning Review. This remote contractor role evaluates AI outputs across hardware research, reproduces key results, and documents the correct method so the modeling team can train on it.

Reviewers reproduce derivations, flag errors with structured severity, and maintain scoring consistency during inter-rater calibration. Remote — US-eligible; availability of at least 10 hours weekly; compensation $120/hr.

Qualifications

• Advanced degree in hardware or a closely related field (MSc or PhD).
• Experience publishing, teaching, or advising on hardware review topics at a professional level.
• Ability to apply multi-page rubrics consistently across long review batches.
• Clear written reasoning that cites methods, papers, or worked examples.

Responsibilities

• Review AI outputs against hardware research review methods and prior work.
• Reproduce or sanity-check key derivations, calculations, or experimental claims.
• Flag dimensional, methodological, and citation errors with structured severity tags.
• Capture corrected reasoning or worked examples for training the model team.
• Adjudicate disputed answers against textbooks, papers, or community standards.
• Maintain reviewer-quality scores in calibration cycles.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Hardware research review

Education

MSc/PhD in hardware related field

Job description

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

Hardware Expert (MSc. or PhD) — AI Technical Reasoning Review is a remote review track for evaluating AI outputs across hardware 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

Hardware 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 hardware research review methods, conventions, and prior work for Hardware Expert (MSc. or PhD) — AI Technical Reasoning Review 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 hardware research review or a closely related field for Hardware Expert (MSc. or PhD) — AI Technical Reasoning Review 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 hardware 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
• Hardware 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.