Michael Jennifer

I am an AI Training and Data Annotation specialist with over two years' experience improving model performance across linguistic, multimedia, and STEM domains. I consistently deliver high annotation accuracy (above 98%), drove a 22% improvement in search relevance, and supported LLM and ASR enhancements through targeted dataset curation.

I bring technical adaptability, localization and linguistic QA expertise, and hands-on experience with computer vision labeling, transcription, sentiment analysis, and dataset management (including training in Amazon SageMaker). I prioritize ethical labeling, bias mitigation, and process standardization to ensure measurable gains in model reliability and user satisfaction.