● Overseeing 5+ simultaneous GenAI Safety data annotation/labeling projects handled by 6+ vendors, to collect and deliver high quality data sets for English, multilingual (20+ languages), and multimodal (text, speech, image) projects.
● Developed and executed a comprehensive weekly golden set testing framework, yielding a 5% improvement in vendor data quality within a 3-month period.
● Successfully onboarding and managing 6+ vendors, ensuring compliance with program requirements. Fostering strong vendor relationships by resolving data delivery blockers, coordinating support, leading strategic meetings, and tracking deliverables to meet deadlines.
● Leading a high-performing team of 10 Data Quality Analysts in the Safety domain, overseeing onboarding, training, and development to ensure seamless integration and optimal performance.
● Serving as a Subject Matter Expert on GenAI LLM Trust & Safety guidelines and annotation workflows, providing expert guidance and support to internal teams and vendor partners across English, multilingual, and multimodal workflows.
● Serving as a key liaison between the Safety Content Policy team and external vendors, facilitating timely communication and issue resolution, informing policy decisions, and ensuring vendor compliance with policy updates.