AI Data Quality Reviewer

Job Overview We are seeking a detail-oriented AI Data Quality Reviewer to help ensure the quality, accuracy, and integrity of data used in AI training and evaluation projects. In this role, you will review contributor submissions across text and video formats, assess them against project-specific guidelines, and make consistent quality decisions at scale. The ideal candidate has experience working in high-volume review environments, possesses exceptional attention to detail, and can apply detailed guidelines consistently while maintaining productivity targets. You will play a critical role in maintaining dataset quality, identifying suspicious or low-quality submissions, and providing clear feedback to contributors. Core Tasks: Review contributor submissions across text and video against project-specific guidelines and acceptance criteria Approve, reject, or return submissions for correction while providing clear and feedback Maintain high accuracy and consistency while meeting project throughput and turnaround-time targets Identify duplicate, low-effort, synthetic, manipulated, or otherwise suspicious submissions and escalate potential integrity issues Apply detailed review rubrics consistently across large volumes of submissions Track recurring contributor errors and flag unclear or ineffective task instructions Accurately record review decisions, rejection reasons, and other required information Must Have: 1-3+ years of experience in data annotation, quality assurance, con