Jonathan Okoko

I’m an AI Trainer and Data Annotation Specialist with hands-on experience labeling, evaluating, and reviewing data for machine learning and large language model projects. I bring strong written English, precise task-following, and clear judgment to annotation, ranking, and content-review work.

From 2025 to present, I’ve completed structured data-labeling and annotation tasks across text, audio, and image datasets using detailed client guidelines and quality standards. I review and rate AI-generated responses for accuracy, relevance, tone, and safety, supporting preference-based training (RLHF-style tasks) through side-by-side comparison and ranking.

I also transcribe and validate audio/video content for training datasets, ensuring accurate timing, spelling, and speaker attribution. As a native-level Swahili and Luo speaker with strong English proficiency, I contribute to English–Swahili and Swahili–English dataset work to improve language-model accuracy for East African languages.

I stay consistent and accurate across high volumes by carefully following evolving annotation rubrics and style guides. I provide written rationale and feedback notes on flagged or ambiguous cases, and I’m comfortable working independently against detailed instructions to meet quality benchmarks and deadlines.