In recent years, the rapid development of artificial intelligence (AI) and virtual reality (VR) technology has opened up new approaches in the field of education and training, especially employment skills training. This study explores the application of artificial intelligence and virtual reality collaborative enhancement technology in virtual simulation training of employment skills. It introduces a comprehensive theoretical framework, including data collection and processing, intelligent analysis using multimodal algorithms, collaborative security mechanisms for AI models, and AI-VR interaction optimization techniques. This study confirms the feasibility and validity of the framework through theoretical analysis, simulation experiments, and expert interviews. The results show that the proposed framework significantly improves the personalization and interactivity of training, ensures data privacy and system stability, and improves the efficiency of intelligent diagnosis. This study provides valuable theoretical support and innovative ideas for the deep integration of VR technology in educational training.