The Future of Jobs Report 2025, published by the World Economic Forum, ranks Artificial Intelligence and Big Data as leading transformative technologies shaping the global labor market, with remote and XR-enhanced technologies implicitly included under “AI and information processing.” yet their distinctive experiential potential deserves explicit attention in engineering education. Considering their growing adoption across industries for modeling, testing, and training - and their potential to complement traditional methods by fostering experiential and collaborative learning - these technologies play an important role in preparing future engineers for emerging roles in the future of jobs. This work explores how remote and XR-enhanced technologies can be integrated as complementary tools that naturally engage students’ curiosity, enhance learning, support inclusive and future-oriented learning. Selected examples from applied projects in mechanical engineering demonstrate practical strategies for integration, and show how these technologies, by improving motivation and conceptual understanding, can expand opportunities for their use while promoting ethical principles such as collaboration, equity, autonomy, accessibility, and lifelong learning, and offering scalability and safety. All these features are strengthened when integrated with AI and Big Data.