Remote AutoCAD Review Specialist (AI Output Evaluator)

AuraOne; United States; On-site; USD 62,000 - 76,000; Full time

Job summary

AuraOne is seeking a remote, US-eligible contractor to review AutoCAD Mechanical on Windows projects for STEM assignments. You will evaluate AI outputs, grade craft, constraints, and tooling adherence, and document corrected approaches for training.

Ideal candidates have portfolio experience in AutoCAD review or related creative disciplines, familiarity with the standard tooling, and the ability to apply rubrics consistently across long batches while delivering clear written reasoning.

Qualifications

• Portfolio or production experience in AutoCAD review or an adjacent creative discipline.
• Clear written reasoning that names the craft issue and the standard being applied.
• Hands-on familiarity with the standard tooling for the discipline.

Responsibilities

• Review AI outputs against current AutoCAD review craft and tooling standards for Application Users - AutoCAD Mechanical on Windows - STEM assignments.
• Grade composition, constraint adherence, and production-readiness on a structured rubric.
• Flag tooling-specific failures (file format, scale, naming, layer hygiene) with severity tags.
• Capture the corrected approach or reference so the modeling team can train on it.
• Adjudicate disputed creative judgments against published references or firm style guides.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Creative review

Production-grade craft

Tooling fluency

Asset evaluation

AutoCAD review

Tools

AutoCAD

Job description

AuraOne is seeking a remote, US-eligible contractor to review AutoCAD Mechanical on Windows projects for STEM assignments. You will evaluate AI outputs, grade craft, constraints, and tooling adherence, and document corrected approaches for training.

Ideal candidates have portfolio experience in AutoCAD review or related creative disciplines, familiarity with the standard tooling, and the ability to apply rubrics consistently across long batches while delivering clear written reasoning.