Vincent Mulwa

I am a detail-oriented and efficient Data Annotation Specialist with over two years of experience in accurately labeling, tagging, and annotating datasets for machine learning and AI training. My expertise lies in image, text, and video annotation, utilizing tools such as Labelbox, CVAT, and Amazon SageMaker Ground Truth. I pride myself on my ability to meet tight deadlines while maintaining high quality and consistency in all labeling tasks.

In my current role at Remotask Kenya, I have successfully annotated large volumes of images for autonomous vehicle training datasets, achieving an impressive accuracy and consistency score of over 98%. I also conduct peer reviews and provide constructive feedback to junior annotators, fostering a collaborative environment that enhances overall team performance. My freelance experience on platforms like Upwork has allowed me to work on diverse annotation projects, collaborating with international clients to meet their specific labeling requirements.