Brian Waweru

I am a detail-oriented Image & Video Annotation Specialist with over 2 years of experience in automotive AI data labeling, particularly in vehicle license plate identification. My expertise includes bounding box annotation and radar data tagging, with a proven track record of delivering pixel-perfect results across platforms like Remotask and Outlier AI, achieving a remarkable 99.8% QA accuracy rate.

In my role as an AI Data Annotator, I have tagged over 1,200 vehicle license plates and analyzed more than 500 video clips to ensure frame-by-frame accuracy. My commitment to quality assurance has allowed me to resolve ambiguities effectively, and I have optimized processes by automating repetitive tasks with Python scripts, reducing annotation time by 25%. My background as a freelance vehicle photographer has further enhanced my understanding of various car models, which I leverage in my annotation work.

With a BSc in Applied Computer Science and certifications in Google AI Fundamentals, I am passionate about advancing AI systems that rely on precise training data. I thrive in independent, remote environments and am eager to contribute my technical skills and automotive knowledge to ensure datasets meet the highest standards of reliability.