Paulette Adande

Performed data annotation, labeling, validation, and quality-assurance tasks supporting AI system improvement. Reviewed structured and unstructured content and classified materials based on project criteria. Identified inaccuracies, incomplete or duplicated items, and ambiguous information, escalating uncertain or non-compliant submissions rather than guessing. Followed instructions for formatting and acceptable data, maintained organized digital records, and protected confidential project information throughout the workflow.

Reviewed digital content and submitted data to ensure accuracy, completeness, and compliance with detailed project guidelines. Compared source materials against requirements to identify missing, inconsistent, or invalid information, and flagged submissions that did not meet formatting or quality expectations. Organized and categorized data according to project instructions while maintaining confidentiality. Provided clear feedback when corrections or additional review were needed, and maintained consistent quality standards across high-volume, remote review work.

Entered, reviewed, and maintained confidential employee and financial information while validating records against supporting documentation. Identified data discrepancies, corrected inaccurate or incomplete entries, and used Excel to validate data, reconcile records, and track exceptions. Maintained organized electronic documentation across multiple systems and followed detailed procedures for sensitive information. Completed time-sensitive work independently in a remote environment while sustaining strong accuracy across repetitive data-processing tasks.