Civil Engineering Experts

AI Trainer Jobs; United States; Remote; USD 96,000 - 110,000; Part time

Job summary

Civil Engineering Experts is seeking remote reviewers to evaluate AI outputs in civil engineering reasoning, calculations, and research workflows. You will grade derivations, reproduce key results, and document the correct method so the modeling team can train on it.

Candidates should have graduate-level civil engineering experience or related research, strong written reasoning, and the ability to apply rubrics across long batches. This is a remote contractor role with US eligibility.

Qualifications

• Graduate-level training or equivalent applied experience in civil engineering 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 civil engineering methods, conventions, and prior work for Civil Engineering Experts 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

Civil engineering

Education

PhD/Postdoc/Industry research experience

Job description

Civil Engineering Experts is a remote review track for evaluating AI outputs across civil engineering 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: $70–$80 / hr Location: Remote — US-eligible Contractor

Civil Engineering Experts is a remote review track for evaluating AI outputs across civil engineering reasoning, calculations, and research workflows.

Role details

About the role

Civil Engineering Experts is a remote review track for evaluating AI outputs across civil engineering 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.
Civil engineering 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 civil engineering methods, conventions, and prior work for Civil Engineering Experts 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.

What you should bring

• Graduate-level training or equivalent applied experience in civil engineering or a closely related field for Civil Engineering Experts 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 civil engineering 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

$70–$80 / hr
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
• Civil engineering