I have 4 years of hands-on experience in AI training and data labeling through Remotasks, where I developed expertise in
I have 4 years of hands-on experience in AI training and data labeling through Remotasks, where I developed expertise in image annotation, transcription, data verification, and quality-controlled task completion across diverse project types. This work required strict adherence to detailed guidelines, consistent accuracy standards, and the ability to handle edge cases efficiently, skills that translate directly to RLHF, content evaluation, and model alignment workflows on premium platforms like Outlier, DataAnnotation, and Surge AI. My Remotasks tenure also built my familiarity with platform-based QA systems, inter-rater calibration, and iterative feedback loops, giving me a solid operational foundation in the AI data pipeline. Beyond platform work, my 6+ years in program management and M&E strengthened my analytical judgment, structured evaluation capabilities, and cross-cultural content review experience. I have evaluated thousands of records against complex rubrics, led QA audits maintaining 90%+ agreement rates, and authored standard operating procedures that mirror AI training guideline development. Combined with my native Kiswahili fluency and 50+ hours of self-directed RLHF practice on public datasets, I bring both proven execution and specialized multilingual expertise to AI training roles.