Statistician at AuraOne

AI Trainer Jobs; Northern (KY); Hybrid; USD 85,000 - 121,000; Part time

Benefits offered by this job

Remote work – US-eligible

Job summary

AI Trainer Jobs seeks a Statistician for a remote reviewer track focused on evaluating AI outputs in statistics reasoning, derivations, and research workflows. You will grade, reproduce key steps, and document methods to train the modeling team.

Responsibilities include validating calculations, flagging errors, and capturing corrected reasoning for training data. Requires PhD or equivalent research background and multi-page rubric familiarity. Remote, contractor role, approx. 10+ hrs weekly.

Qualifications

• Graduate-level training or equivalent applied experience in statistics or a closely related field.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Clear written reasoning that cites methods, papers, or worked examples.

Responsibilities

• Review AI outputs against current statistics methods, conventions, and prior work for Statistician 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.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Statistics

Education

PhD in statistics

Job description

Statistician is a remote review track for evaluating AI outputs across statistics 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: $75 / hr · Location: Remote — US-eligible · Contractor

Statistician is a remote review track for evaluating AI outputs across statistics 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.

Role details

Track

About the role

Statistician is a remote review track for evaluating AI outputs across statistics 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.
Statistics 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 statistics methods, conventions, and prior work for Statistician 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.

What you should bring

• Graduate-level training or equivalent applied experience in statistics or a closely related field for Statistician 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 statistics 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

$75 / 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
• Statistics