Leon Muchiri

I’m a detail-oriented AI data annotation and research professional, focused on developing, reviewing, and validating large-scale datasets for AI and machine learning systems. I work across structured workflows to ensure accuracy and adherence to detailed annotation guidelines.

In my current role, I annotate and label 50,000+ data points (text, image, audio, video) with 99%+ accuracy. I perform data validation, error correction, and dataset cleaning to improve overall data quality and model reliability, and I support AI training data preparation and prompt evaluation for generative AI systems—while collaborating with cross-functional remote teams. I also provided feedback on annotation workflows, improving team efficiency by 15%.

Earlier, I worked as an IT & Data Management Intern, managing and organizing 10,000+ records of research and administrative datasets remotely. I used Excel functions and basic Python scripts for data cleaning, validation, and error reduction, while supporting reporting and documentation. I’m familiar with generative AI workflows and RLHF concepts, including prompt-response evaluation and AI training data development, and I bring strong analytical, research, and writing abilities for evaluating complex information from authoritative sources.