At Scale AI, we label on the order of 10MM annotations per week. Our data is diverse both in image space (e.g. cameras, weather conditions, driving surface) and label space (e.g. object and attributes categories). In this talk, Felix Lau discusses how we leverage machine learning to scale a customer-specific, problem-specific, real-time data labeling solution.