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AI Trainer Jobs is seeking a Product Designer Specialist to join a remote review track evaluating AI outputs across product designer workflows. You will assess craft, constraints, and tooling adherence, flag production-readiness issues, and document corrected approaches for training the modeling team.
Strong candidates will have portfolio experience in product designer creative review or a related discipline, familiarity with standard tooling, and the ability to apply rubrics consistently with
Product Designer Specialist is a remote review track for evaluating AI outputs across product designer creative review workflows.
Category: Creative, Media & Design Evaluation · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor
Product Designer Specialist is a remote review track for evaluating AI outputs across product designer creative review workflows.
Product Designer Specialist is a remote review track for evaluating AI outputs across product designer creative review workflows. Reviewers grade craft, constraints, and tooling adherence; flag production-readiness issues; and document the corrected approach so the modeling team can train on it.
Product Designer creative review AI is only useful if a working professional would actually ship the output. AuraOne uses portfolio-credentialed reviewers to grade outputs the way a senior creative would — with craft, constraints, and tooling all in scope.
Judge creative and design output against professional standards. Craft counts.
Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.
Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.
The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.
Placement timing depends on program demand and reviewer confirmation.