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

AuraOne, Inc.; United States; Remote; USD 69,000 - 124,000; Part time

Job summary

AuraOne, Inc. seeks a Hardware Expert (MSc or PhD) for AI Technical Reasoning Review. You will assess derivations, reproduce key results, and document correct methods so the modeling team can train on them.

The role requires strong hardware research background, ability to apply rubrics, and reliable async availability for at least 10 hours per week. Remote-US eligible; hourly compensation disclosed after interview.

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.
• 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 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.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Hardware research review

Education

Graduate-level training / equivalent applied experience in hardware research review

Experience publishing, teaching, or advising at a professional level

Job description

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.