Application Users - Origin on Windows - STEM

AI Trainer Jobs; United States; Remote; USD 62,000 - 76,000; Full time

Job summary

AI Trainer Jobs is hiring remote reviewers for the Origin on Windows - STEM track to evaluate AI outputs across stem research reasoning, calculations, and workflows. Reviewers grade derivations, reproduce key results, and document the correct method so the modeling team can train on it.

AuraOne uses scientific specialists to grade outputs, capture the right method, and ensure reproducibility. This contract role emphasizes solid domain expertise, precise reasoning, and reliable weekly

Qualifications

• Graduate-level training or equivalent in stem research or a closely related field.
• Experience publishing, teaching, or advising at a professional level.
• Comfort applying rubrics consistently across long batches.
• Clear written reasoning citing methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current stem research methods, conventions, and prior work for Application Users - Origin on Windows - STEM 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.

Skills

Scientific reasoning

Method validation

Citation review

Quantitative analysis

STEM research

Multilingual fluency

Education

PhD, postdoc, or industry research experience

Job description

Application Users - Origin on Windows - STEM is a remote review track for evaluating AI outputs across stem research 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: $45–$55 / hr · Location: Remote — US-eligible · Contractor

Application Users - Origin on Windows - STEM is a remote review track for evaluating AI outputs across stem research reasoning, calculations, and research workflows.

About the role

Application Users - Origin on Windows - STEM is a remote review track for evaluating AI outputs across stem research 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.
STEM research 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 stem research methods, conventions, and prior work for Application Users - Origin on Windows - STEM 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 $45–$55 / hr Eligible from US

What you should bring

• Graduate-level training or equivalent applied experience in stem research or a closely related field for Application Users - Origin on Windows - STEM 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 stem research 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

$45–$55 / 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
• STEM research

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.
Placement timing depends on program demand and reviewer confirmation.