● Evaluate AI-generated outputs to ensure accuracy, safety, and policy alignment across multilingual contexts. ● Perform Root Cause Analysis (RCA) on escalations to identify systemic issues and improve workflows. ● Lead and participate in calibration sessions to maintain reviewer consistency and quality. ● Monitor data quality metrics, flag anomalies, and provide structured feedback to improve model training. ● Collaborate with policy, product, and ML teams to refine decision-making frameworks and edge case handling. ● Reviewed sensitive and complex content escalations to ensure consistent enforcement of community and safety policies. ● Interpreted and applied platform policies with high attention to detail while resolving ambiguous or edge case scenarios.

● Managed escalation workflows and performed triage to determine priority and resolution paths. ● Conducted root cause analysis on recurring case themes to reduce repeated escalations. ● Supported quality improvement by providing coaching and calibration insights. ● Onboarded and trained new analysts for consistent process execution. ● Coordinated with cross-functional partners to clarify escalation requirements and drive high-priority cases to resolution. ● Analyzed escalation trend data to provide insights and recommend small workflow and policy improvements.

● Reviewed and resolved platform support cases with accurate classification and routing. ● Detected trends and behavioral patterns in platform data to identify product issues. ● Contributed to documentation and workflow improvements to reduce handling times.