Byron Omondi

I’m a detail-oriented NLP Data Annotator and AI Model Evaluation Specialist with 4+ years of experience labeling, classifying, and evaluating text datasets used to train large language models, chatbots, and language understanding systems.

I specialize in sentiment labeling, intent classification, named entity recognition (NER), and text categorization, consistently maintaining quality scores above 98% while meeting productivity targets in remote, guideline-driven environments.

I work extensively with JSON, XML, CSV, and TSV datasets, applying NLP evaluation metrics like precision, recall, and F1-score (and inter-annotator agreement) to audit annotation batches and report findings. I also run pairwise comparisons and response ranking to assess AI-generated outputs against annotation guidelines.

My multilingual capability in English, French, Swahili, and Oromo supports cross-lingual NLP dataset development and improved label consistency across multilingual training corpora, while I document discrepancies and contribute actionable process improvements.