Data labeling is an integral part of the data preparation process for machine learning and AI model development. The accuracy of an AI model is directly correlated to the quality of the labeled data used to train it. As a result, people with disabilities (PWDs), who work as data labelers for Vulcan, are the key contributors to determining the quality of label data and the precision of the AI model. To ensure employee performance efficiency and skills, the learning and development unit (L&D) has established an effective training and recruitment system.