Data Labeling Analyst III
Served as a Data Labeling Analyst III supporting AI training and trust and safety initiatives through high-accuracy review of sensitive platform data. Performed investigative analysis of suspicious account activity and provided policy feedback to improve machine learning effectiveness. Collaborated across teams to resolve account security issues while maintaining high annotation/label quality standards for model training. • Reviewed and processed sensitive data under strict guidelines for AI training • Investigated suspicious account activities and detected fraud/abuse signals • Applied policy enforcement actions and updated platform policies based on emerging risks • Maintained label quality and supported cross-functional resolution of security incidents