Freelance Data Labeler & AI Trainer at Self-Employed

Annotated, labeled, and conducted quality reviews on large-scale data sets (text, images, audio, video) for machine learning and AI development initiatives, consistently meeting or exceeding project accuracy thresholds. Performed precise data labeling, categorization, bounding box annotation, semantic segmentation, and transcription while following detailed project-specific guidelines and ontology requirements. Collaborated with AI/ML engineers and project managers to refine annotation instructions and improve labeling consistency and dataset reliability. Participated in model evaluation cycles by comparing AI predictions against human-labeled ground truth and providing actionable feedback to reduce bias and improve performance. Created comprehensive documentation, reference guides, and training materials to onboard and standardize new labelers.