Brian Wambua

Labelled and annotated video data at the frame and segment level to support computer vision and AI model training. Applied detailed labelling guidelines consistently across large volumes of video content to ensure dataset accuracy.

Completed a broad range of generalist annotation tasks spanning text, image, and structured data to support multiple client AI models. Applied project-specific labelling and evaluation guidelines accurately across varied task types.

Performed text, image, and audio annotation tasks to train and evaluate machine learning models across multiple concurrent AI projects. Reviewed and quality-checked data submissions, ensuring labelling accuracy consistently met platform standards and client specifications.

Transcribed audio content into accurate, guideline-compliant text to support AI speech and language model training. Reviewed transcriptions for accuracy, grammar, and adherence to formatting and style guidelines.

Extracted and structured data from financial documents for downstream analysis, ensuring accuracy and consistency with client specifications. Reviewed extracted data against source documents to catch and correct discrepancies before submission.

Delivered product demonstrations and training sessions on Google Gemini AI capabilities, supporting user understanding of AI outputs and use cases. Collected and reported user feedback and interaction data to inform product quality and localization improvements.

Bachelor of Commerce in Finance from Kenyatta University, completed in 2025.

Diploma in Artificial Intelligence from ALX Africa, completed in 2024.

Diploma in Information and Communication Technology from Wote Technical College, completed in 2019.