Arches — Simulated Research Reviewer (MechE & Mat-Sci)

AI Trainer Jobs; United States; Remote; USD 69,000 - 124,000; Full time

Job summary

Arches — Simulated Research Reviewer (MechE & Mat-Sci) is a remote role designed to evaluate AI outputs across arches simulated research and review reasoning, calculations, and workflows. Reviewers grade derivations, reproduce key results, and document the correct method so the modeling team can train on it.

Track responsibilities include reproducing or sanity-checking derivations, flagging errors with structured severity tags, and capturing the corrected reasoning or worked examples for

Qualifications

• Graduate-level training or equivalent applied experience in arches simulated 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.

Responsibilities

• Review AI outputs against current arches simulated research review methods, conventions, and prior work for Arches — Simulated Research Reviewer (MechE & Mat-Sci) 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

Arches simulated research review

Education

PhD or equivalent research experience

Job description

Arches — Simulated Research Reviewer (MechE & Mat-Sci) is a remote review track for evaluating AI outputs across arches simulated research 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: $50–$90 / hr · Location: Remote — US-eligible · Contractor

About the role

Arches — Simulated Research Reviewer (MechE & Mat-Sci) is a remote review track for evaluating AI outputs across arches simulated research 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.
Arches Simulated Research 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 arches simulated research research review methods, conventions, and prior work for Arches — Simulated Research Reviewer (MechE & Mat-Sci) 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 $50–$90 / hr Eligible from US

What you should bring

• Graduate-level training or equivalent applied experience in arches simulated research research review or a closely related field for Arches — Simulated Research Reviewer (MechE & Mat-Sci) 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 arches simulated research 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

$50–$90 / 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
• Arches Simulated Research research review