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AI Trainer Jobs is seeking a Digital Content Editor (Olive Video Editor) for a remote reviewer role operating in the US as an independent contractor. You will evaluate AI outputs across video review workflows, grading craft, constraints, and tooling adherence, and document corrected approaches for model training.
Responsibilities include applying a structured rubric to assess production-readiness, flagging tooling failures, and capturing reference work to guide the modeling team.
Digital Content Editor (Olive Video Editor) is a remote review track for evaluating AI outputs across video 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.
Category: Creative, Media & Design Evaluation · Pay: $30–$100 / hr · Location: Remote — US-eligible · Contractor
Digital Content Editor (Olive Video Editor) is a remote review track for evaluating AI outputs across video review workflows.
Digital Content Editor (Olive Video Editor) is a remote review track for evaluating AI outputs across video 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.
Video 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.
Track Design & creative review Work model Remote · Independent specialist contractor Compensation $30–$100 / hr Eligible from US
$30–$100 / hr
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.