Data Labeling and Validation for RPA & AI Workflows
Reviewed and categorized structured and unstructured textual data for accuracy and business-rule compliance. Performed data tagging and labeling to support training of automation workflows and NLP-based systems. Conducted thorough quality checks and annotated findings to support continuous model improvement. • Categorized and labeled datasets using validation logic and business guidelines • Checked consistency and correctness across large text corpora • Used internal/proprietary data annotation tools and Microsoft Excel • Documented actionable findings and provided process feedback