OLIVER MBAGAYA

I am an experienced Image and Video Annotation Specialist with over two years of expertise in automotive AI data labeling, particularly in vehicle license plate identification. My work has involved precise tagging and bounding box annotation, ensuring that the training data for autonomous systems is of the highest quality. I have a proven track record of delivering pixel-perfect results across platforms like Remotask and Outlier AI, achieving an impressive 99.8% QA accuracy rate.

In my role as an AI Data Annotator, I successfully tagged over 1,200 vehicle license plates and analyzed more than 500 video clips, ensuring frame-by-frame accuracy in my annotations. My commitment to quality assurance has allowed me to resolve ambiguities effectively, even in challenging conditions such as low-light scenarios. I am also proficient in automating repetitive tasks using Python, which has significantly optimized my workflow.

With a Bachelor’s degree in Computer Science and a certification in Google AI Fundamentals, I am passionate about advancing AI systems that rely on precise training data. I thrive in remote work environments and am eager to contribute my technical skills and automotive knowledge to enhance the reliability of datasets in the industry.