The continual improvement process focuses on enhancing the overall efficiency and quality of labeling operations through iterative improvements. Annotators receive ongoing training to align with updated guidelines and project requirements, while client feedback and AI model performance data are analyzed to refine workflows. Active learning and AI-assisted pre-labeling tools may be employed to optimize repetitive tasks, further increasing productivity. The result is a continually improving process with refined guidelines and workflows that enhance accuracy, quality and scalability over time.