UPSKILLING THE DIGITAL WORKFORCE: STRATEGIES FOR REMOTE EMPLOYEE DEVELOPMENT, CONTINUOUS LEARNING, AND CAREER PROGRESSION

Abstract

The investigation examines workplace education infrastructures for staff improvement and career evolution which incorporate structured online tutoring with AI-supported education platforms coupled with mentoring support. The study examines the relationship between permanent learning involvement that enhances career growth opportunities in remote work settings. The study applied a mixed-research design that combined survey data and interview responses from remote workers from various fields of work. The research foundation comes from human capital theory because such theory shows that skill development investments lead to productivity and career progress. Turns out that participation in structured learning programs substantially boosts employee promotion opportunities as shown by a strong positive relationship (r = 0.78). Three main obstacles emerged from the research involving weak team dynamics and technical breakdowns and lack of employee drive. Long-term research needs to investigate prolonged career outcomes both independently and with systematic investigation of workplace cultures regarding employee learning support and evaluation of new virtual reality platforms and blockchain-based employee qualification systems in education programs. To support continuous learning organizations should deploy AI-based learning platforms together with established mentorship programs and monetary benefits. Training methods that combine virtual and in-person delivery support both student participatory levels and information maintenance among corporate learners.