Sarah Kim
Head of Quality ·

Content moderation at scale is one of the most demanding BPO operations. Platforms generate millions of pieces of user content daily, and each piece must be reviewed against nuanced policy guidelines that evolve constantly.
AI-first moderation is the only approach that works at scale. Machine learning models handle initial classification — flagging content that likely violates policies and auto-approving clearly safe content. This reduces the volume human moderators must review by 70-80%.
But human judgment remains essential. AI models struggle with context, cultural nuance, satire, and emerging trends. Our moderation teams include specialists who understand regional contexts and can make the nuanced calls that AI cannot.
Quality assurance in moderation requires specialized frameworks. We track accuracy, consistency, and policy adherence across moderators and AI systems. Regular calibration sessions ensure that human and AI judgments remain aligned as policies evolve.

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