While I am early in my formal AI data labeling career, my professional background in HR and program coordination serves
While I am early in my formal AI data labeling career, my professional background in HR and program coordination serves as a direct, hands-on equivalent to high-level manual data annotation. During my tenure as a Data & Records Lead at Envag Associates Kenya Ltd, I regularly managed text-first verification workflows, auditing unstructured legal documents and employee files to extract exact data attributes. I am highly proficient in using open-source intelligence (OSINT) tools like LinkedIn, web directories, and registries to cross-reference and validate organizational information, ensuring 100% data integrity before inputting records into primary database systems.Furthermore, my experience as a Program Coordinator for Compassion International deeply developed my logical reasoning and manual data logging skills. I have extensive experience reviewing record-by-record text entries, identifying missing attributes, and using Microsoft Excel to meticulously organize, format, and highlight verified values. I excel at following strict, multi-step labeling protocols and possess the sharp focus needed to execute repetitive, high-volume classification tasks accurately without relying on automated shortcuts. Please note that I have prior data labeling experience. While my experience stems from corporate data verification rather than an AI lab, the core tasks are identical: manually reading records, cross-referencing open sources (OSINT), and validating fields in Excel.My Data Labeling & Verification Experience Includes:Manual Attribute Verification: Auditing and correcting company attributes (names, directors, jurisdictions) at Envag Associates Kenya Ltd.Text-First Data Annotation: Extracting structured information from unstructured legal filings, text records, and LinkedIn profiles.Data Auditing & Quality Control: Running record-by-record checks on large participant databases for Compassion International to catch errors and fill missing fields.Spreadsheet Management: Using Microsoft Excel to log, format, and highlight verified values according to strict protocol guidelines.