Phillip Otieno

As an AI Data Trainer and Annotation Subject Matter Expert, I bring a wealth of experience in evaluating and fine-tuning large language models, particularly in Kiswahili and English. My hands-on experience includes assessing AI-generated responses for grammatical accuracy, cultural relevance, and factual completeness. I am committed to delivering structured linguistic feedback that enhances AI performance and ensures high-quality outputs.

In my previous roles, I have demonstrated my ability to manage and organize data annotation projects, contributing to machine learning pipelines with precision. My background in legal transcription has equipped me with the skills to maintain confidentiality and adhere to strict formatting guidelines while ensuring accuracy and completeness in all documentation. I thrive in fast-paced environments and consistently meet deadlines, which has earned me recognition for my attention to detail and quality assurance.