Member of Technical Staff, Model Training (Applied Research) — Remote

AuraOne, Inc.; United States; A distancia; USD 83.000 - 165.000; Jornada completa

Descripción de la vacante

AuraOne, Inc. seeks a Member of Technical Staff, Model Training (Applied Research) on a remote contractor track. You will review AI outputs, reproduce key steps, and document the right method so the modeling team can train on it.

Responsibilities include evaluating derivations, flagging errors, and maintaining calibration scores while adhering to multi-page rubrics. This role requires graduate-level training and strong written reasoning, with at least 10 hours per week.

Formación

• Graduate-level training or equivalent in model training research review 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.

Responsabilidades

• Review AI outputs against current model training review methods 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.

Conocimientos

Scientific reasoning

Method validation

Citation review

Quantitative analysis

AI model evaluation

Educación

Graduate-level training or equivalent

Descripción del empleo

Member of Technical Staff, Model Training (Applied Research) - Remote 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) - Remote 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) - Remote 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) - Remote 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.