OpenScad Expert

AI Trainer Jobs; United States; Remote; USD 28,000 - 165,000; Full time

Job summary

AuraOne is seeking an OpenScad Expert for a remote review track to evaluate AI outputs across openscad research, reasoning, calculations, and workflows. Reviewers grade derivations, reproduce key results, and document methods so the modeling team can train on correct and incorrect approaches.

The role emphasizes scientific and technical domain expertise, multidisciplinary collaboration, and precise, citable reasoning. Flexible, async work supports a distributed team across time zones.

Qualifications

• Graduate-level training or equivalent applied experience in openscad research review or a closely related field for OpenScad Expert work.
• Hands-on experience publishing, teaching, or advising on the topic at a professional level.
• Clear written reasoning that cites methods, papers, or worked examples.
• Reliable async availability for at least 10 hours per week.
• Multilingual fluency for non-English papers and corpora.

Responsibilities

• Review AI outputs against current openscad research review methods, conventions, and prior work for OpenScad Expert 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

OpenScad research review

Tools

AutoCAD

OpenScad

CSG

Job description

OpenScad Expert is a remote review track for evaluating AI outputs across openscad 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: $20–$120 / hr · Location: Remote — US-eligible · Contractor

OpenScad Expert is a remote review track for evaluating AI outputs across openscad research review reasoning, calculations, and research workflows.

About the role

OpenScad Expert is a remote review track for evaluating AI outputs across openscad 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.
OpenScad 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 openscad research review methods, conventions, and prior work for OpenScad Expert 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.

What you should bring

• Graduate-level training or equivalent applied experience in openscad research review or a closely related field for OpenScad Expert 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 openscad 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

$20–$120 / 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
• OpenScad research review
• AutoCAD
• CSG
• OpenScad