Wilson Mungai

At Remotasks, Turing, and Appen, I review AI-generated responses for relevance, factual consistency, clarity, tone, and adherence to user instructions. I compare model responses and provide guideline-based preference judgments where required.

I support data annotation, classification, validation, and quality-review workflows, identifying unsupported claims, inconsistencies, and language issues. I work with English and Kiswahili content and apply my Kikuyu language knowledge to relevant tasks.

My project-based work focuses on AI data operations, LLM evaluation, multilingual content, and quality assurance. I use structured guidelines and documentation to review model outputs and content quality.

I earned a Bachelor’s Degree in Education and Social Sciences from Alupe University, with relevant study in research methodology, data analysis, educational psychology, and instructional design. I’m interested in remote, project-based work with flexible hours.