PhD & Academic Expert

AI Trainer Jobs; United States; Remote; USD 141,000 - 190,000; Full time

Job summary

AuraOne is seeking a PhD-level Academic Expert to remotely review AI outputs, verify derivations, reproduce key results, and document correct methods for model training. You will assess reasoning, measurements, and citations across PhD-level research workflows, contributing to high-quality data for AI systems.

Trabajo en un entorno de revisión independiente, con disponibilidad asincrónica de al menos 10 horas semanales y un enfoque disciplinado en méthodologies y documentación.

Qualifications

• Graduate-level training or equivalent applied experience in phd academic research review
• 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 phd academic research review methods, conventions, and prior work for PhD & Academic Expert 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.Track STEM research review Work model Remote Independent specialist contractor

Skills

Graduate training

Research review

Academic writing

Async availability

Education

PhD or equivalent

Job description

Role details

PhD & Academic Expert is a remote review track for evaluating AI outputs across phd academic 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

PhD & Academic Expert is a remote review track for evaluating AI outputs across phd academic research review reasoning, calculations, and research workflows.

About the role

PhD Academic 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 phd academic research review methods, conventions, and prior work for PhD & Academic Expert 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.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 phd academic research review or a closely related field for PhD & Academic Expert 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 phd academic 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
• PhD Academic research review