Ensuring that data labelers are not biased is a foundational concern in managed data labeling services, particularly in platforms like Google Cloud’s AI Data Labeling Service. Bias in labeled data can result in systematic errors in model predictions, lead to unfair outcomes, and degrade the overall performance and ethical reliability of machine learning models. Addressing