I have over three years of experience in AI data annotation, transcription, and content review, working across text and
I have over three years of experience in AI data annotation, transcription, and content review, working across text and audio datasets in both Swahili and English. My work has involved labeling and reviewing data for machine learning models, evaluating AI-generated outputs for accuracy and consistency, and writing structured quality assessments — including side-by-side (SxS) comparisons and RLHF-style evaluations. I am comfortable working with large volumes of data under tight deadlines while maintaining high accuracy and strict adherence to annotation guidelines. Beyond labeling, I have hands-on experience with prompt evaluation — assessing whether model responses meet instruction-following, factual accuracy, and tone criteria. My multilingual background gives me an edge in projects involving African language data or cross-lingual review tasks. I bring a detail-oriented, quality-first approach to every project, with a track record of flagging errors, cleaning datasets, and delivering consistent outputs across diverse annotation workflows.