Data Labelling Analyst
As a Data Labelling Analyst at Meta, I designed and maintained golden-set benchmarks to calibrate AI content moderation systems. My work focused on evaluating vendor performance through structured feedback and ongoing quality improvement measures. I consistently processed and reviewed large volumes of moderation cases to uphold high accuracy standards. • Led vendor calibration initiatives and self-QA routines • Maintained a 95% weekly quality score across 300+ daily cases • Regularly analysed policy violation and content flag data to guide process innovation • Managed vendor relationships to ensure adherence to quality and compliance requirements