Quality and coordination responsibilities within RWS AI Data Annotator role
Led quality assurance activities by conducting audit sampling and independent QA reviews across annotator outputs. Ensured adherence to evolving guidelines through accuracy validation and edge-case escalation. Refined evaluation criteria by translating recurring error patterns into updated instructions. • Performed audit sampling and accuracy validation on annotation outputs • Coordinated consensus decision-making for ambiguous or novel cases • Escalated edge-case outcomes using structured workflows • Updated guidelines and evaluation criteria based on systematic error analysis