Video Content Annotation for AI Moderation Systems
Internal Proprietary ToolingVideoEntity Ner Classification
Project: Video Content Annotation for AI Moderation Systems
Contributed to a large-scale multimedia annotation project involving short-form video classification. Labeled and categorized content according to structured taxonomies (e.g., political content, smoking, regulated topics, and contextual signals). Ensured high annotation accuracy and consistency while handling ambiguous edge cases. The labeled data was used to train and improve automated content understanding and moderation models.
Project: Video Content Annotation for AI Moderation Systems Contributed to a large-scale multimedia annotation project involving short-form video classification. Labeled and categorized content according to structured taxonomies (e.g., political content, smoking, regulated topics, and contextual signals). Ensured high annotation accuracy and consistency while handling ambiguous edge cases. The labeled data was used to train and improve automated content understanding and moderation models.
2023 - 2025