Kelvin Oketch

I am a detail-driven Voice Acting and Audio Annotation Specialist with over five years of experience in linguistic review, audio transcription, and AI training data quality assurance. I specialize in analyzing vocal tone, pacing, pronunciation, and emotion to ensure clarity and naturalness in human–AI communication.

I have worked as a remote audio and linguistic annotator for platforms like Neevo, Clickworker/UHRS, and RWS, and led a team as Project Captain at CloudFactory Kenya, maintaining 99%+ data quality while training and supervising annotators. I annotate emotions and non-verbal cues, correct transcriptions, and provide structured feedback to improve dataset standards for text-to-speech and speech-modeling projects.

I combine strong linguistic awareness, performance sensitivity, and rigorous data accuracy, and I am passionate about enhancing voice technology and emotional realism in AI systems. I bring practical experience with audio annotation tools, transcription workflows, and remote team collaboration.