Keith Kibet

Annotated text, image, and audio datasets for large language models, achieving 99% accuracy in tagging per client guidelines.



Utilized Google Sheets and Docs to track progress and document processes, improving project efficiency by 12%.



Collaborated remotely with AI teams to refine annotation workflows, enhancing model performance for fintech and retail sectors.

Annotated and labeled image, text, and audio datasets for machine learning models, ensuring over 99% accuracy through rigorous quality control processes. Utilized advanced annotation tools to support computer vision and NLP projects, including bounding box, semantic segmentation, and named entity recognition (NER). Collaborated remotely with cross-functional teams to refine AI model outputs, provi

Conducted precise web searches to verify facts, gather supporting data, and cross-check AI-generated responses for accuracy, contributing to high-quality training datasets. Performed intent verification and fact-checking to ensure AI outputs aligned with user objectives, identifying and flagging inaccuracies or irrelevant responses. Designed and optimized prompts for large language models (LLMs),

Studied Computer Engineering, gaining a strong foundation in AI/ML models, data annotation, and prompt engineering. Developed expertise in areas like NLP and computer vision, preparing for roles in AI-driven projects.