Nuclear Engineering Evaluation Specialist

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

Job summary

AuraOne is seeking a Nuclear Engineering Evaluation Specialist for a remote review track focused on evaluating AI outputs in nuclear science reasoning, calculations, and research workflows. Reviewers assess derivations, reproduce key results, and document the correct method to enable the modeling team to train on it.

Ideal candidates have graduate-level training or equivalent applied experience in nuclear science, strong written reasoning, and the ability to apply multi-page rubrics across large

Qualifications

• Graduate-level training or equivalent applied experience in nuclear science 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.

Responsibilities

• Review AI outputs against current nuclear science methods, conventions, and prior work for Nuclear Engineering Evaluation Specialist 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

Method validation

Citation review

Quantitative analysis

Nuclear science

Education

PhD/postdoc/industry

Job description

Nuclear Engineering Evaluation Specialist is a remote review track for evaluating AI outputs across nuclear 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: $120 / hr · Location: Remote — US-eligible · Contractor

Nuclear Engineering Evaluation Specialist is a remote review track for evaluating AI outputs across nuclear science reasoning, calculations, and research workflows.

About the role

Nuclear Engineering Evaluation Specialist is a remote review track for evaluating AI outputs across nuclear 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.
Nuclear 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 nuclear science methods, conventions, and prior work for Nuclear Engineering Evaluation Specialist 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 nuclear science or a closely related field for Nuclear Engineering Evaluation Specialist 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 nuclear 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

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
• Nuclear science

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

• The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.