Although I do not have formal professional experience in AI data labeling, I have developed relevant experience through
Although I do not have formal professional experience in AI data labeling, I have developed relevant experience through data management, data entry, and analytical work. I have experience reviewing datasets for accuracy, organizing information, maintaining data quality standards, identifying inconsistencies, and producing structured reports. Through my background in Economics and Statistics and administrative support roles, I have handled data collection, cleaning, validation, and documentation while ensuring attention to detail and accuracy. I am comfortable following annotation guidelines, working with spreadsheets and digital platforms, and completing repetitive tasks while maintaining quality standards. Relevant skills: 1. Data entry and quality assurance 2. Attention to detail and accuracy 3. Data cleaning and validation 4. Microsoft Excel and Office Suite 5. Statistical analysis (SPSS, STATA) 6. Report writing and documentation 7. Time management and task prioritization Since you have experience as an Assistant M-Pesa Administrator and training in Economics and Statistics, this version stays aligned with your background without overstating experience.