Freelance Data Annotator & Linguistic Reviewer — Appen (Remote)
Annotated and labeled over 15,000 data points for AI training pipelines supporting Swahili-language models. Performed pairwise comparisons of AI-generated Swahili text to evaluate coherence, fluency, cultural accuracy, and overall quality. Conducted quality assurance reviews of peer annotations, maintaining personal accuracy above 96%. • Pairwise comparison judgment for Swahili text quality • Coherence, fluency, and cultural accuracy evaluation • Peer-review QA for labeling consistency • Maintain accuracy targets above 96%