Remote Autodesk Fusion QA & AI Workflow Reviewer

AuraOne; United States; On-site; USD 34,000 - 55,000; Full time

Job summary

AuraOne is seeking an Autodesk Fusion Expert to remotely review AI outputs and evaluate how they fit real Fusion specialist operations, workflows, and firm policy. You’ll grade workflow accuracy, tone, and stakeholder fit against a structured rubric.

Responsibilities include flagging operational risk, missed escalations, and policy gaps with severity tags; capturing the right next steps for the modeling team; and auditing batches for rubric consistency.

Qualifications

• Direct working experience in autodesk fusion specialist operations on real teams for Autodesk Fusion Expert work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current autodesk fusion specialist operations workflows, playbooks, and firm policy for Autodesk Fusion Expert assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Autodesk Fusion specialist operations

Job description

AuraOne is seeking an Autodesk Fusion Expert to remotely review AI outputs and evaluate how they fit real Fusion specialist operations, workflows, and firm policy. You’ll grade workflow accuracy, tone, and stakeholder fit against a structured rubric.

Responsibilities include flagging operational risk, missed escalations, and policy gaps with severity tags; capturing the right next steps for the modeling team; and auditing batches for rubric consistency.