AI Video Content Labeling & Evaluation
Independently conducted multimodal data annotation, video content quality evaluation, and AI-generated video review as part of video production tasks. Applied professional judgement to video compliance, attractiveness, narrative logic, and visual effect for AI model training and evaluation. Accurately interpreted and executed detailed labeling rubrics to deliver high-quality labeled video datasets for model development. • Labeled short video content for quality, compliance, and engagement. • Reviewed and annotated AI-generated video outputs for assessment and RLHF tasks. • Leveraged editing expertise to optimize annotation accuracy across platforms. • Used standard labeling guidelines to ensure consistent, professional labeling outcomes.