History & Humanities Experts

AI Trainer Jobs; United States; Remote; USD 138,000 - 193,000; Part time

Job summary

History & Humanities Experts is a remote review track for evaluating AI outputs across history humanities experts 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.

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

Qualifications

• Graduate-level training or equivalent applied experience in history humanities experts research review.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Multilingual fluency for non-English papers and corpora.

Responsibilities

• Review AI outputs against history humanities experts methods and prior work.
• Reproduce or sanity-check key derivations, calculations, or claims.
• Flag errors with structured severity tags.
• Capture corrected reasoning or worked examples for training.

Skills

Scientific reasoning

Quantitative analysis

Citation review

History humanities research review

Education

PhD or higher

Job description

History & Humanities Experts is a remote review track for evaluating AI outputs across history humanities experts 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.

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

History & Humanities Experts is a remote review track for evaluating AI outputs across history humanities experts research review reasoning, calculations, and research workflows.

About the role

History & Humanities Experts is a remote review track for evaluating AI outputs across history humanities experts 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.
History Humanities Experts 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.
Bring scientific and technical domain expertise into AI reasoning, research, and dataset review.

Responsibilities

• Review AI outputs against current history humanities experts research review methods, conventions, and prior work for History & Humanities 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.

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 history humanities experts research review or a closely related field for History & Humanities 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 history humanities experts 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.

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
• History Humanities Experts research review