Content Moderation & Classification Project
Supported a large-scale dataset labeling project for content moderation. Tasks included reviewing user-generated text and images, applying category tags, flagging harmful or inappropriate content, and rating relevance for recommendation systems. Followed strict guidelines to ensure consistent labeling and high data quality. This project directly improved AI models used for social media moderation and safer online environments.