Member of Technical Staff, Model Training (applied research)

AuraOne Human Data; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

AuraOne Human Data seeks a remote Member of Technical Staff, Model Training reviewer on an independent contractor basis. You will evaluate AI outputs, reproduce key steps, and document correct methods to help the modeling team train on them. Remote US-eligible with a commitment of at least 10 hours per week.

The role focuses on grading derivations, flagging errors, and maintaining inter-rater calibration scores, with opportunities to publish or advise on the topic.

Qualifications

• Graduate-level training or equivalent applied experience in member of technical staff model training research review or a closely related field for Member of Technical Staff, Model Training (applied research) 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.

Responsibilities

• Review AI outputs against current model training research review methods, conventions, and prior work.
• 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.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

Member of Technical Staff Model Train…

AI model evaluation

Education

PhD or equivalent research experience

Job description

Member of Technical Staff, Model Training (applied research) is a remote review track for evaluating AI outputs across member of technical staff model training 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.

Why this role matters

Member of Technical Staff Model Training 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.

Responsibilities

• Review AI outputs against current member of technical staff model training research review methods, conventions, and prior work for Member of Technical Staff, Model Training (applied research) 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.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Qualifications

• Graduate-level training or equivalent applied experience in member of technical staff model training research review or a closely related field for Member of Technical Staff, Model Training (applied research) 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 member of technical staff model training 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.

Nice to have

• 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.

Skills

• Scientific reasoning
• Method validation
• Citation review
• Quantitative analysis
• Member of Technical Staff Model Training research review
• AI model evaluation

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

Graduate-level training or equivalent applied experience in member of technical staff model training research review or a closely related field for Member of Technical Staff, Model Training (applied research) 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.