With the rise of platform capitalism, platform economy have reshaped the contemporary labor relation through algorithmic management and piece-rate payment systems. This study aims to examine how algorithmic control operationalizes capital’s pursuit of efficiency maximization and to analyze how such mechanisms contribute to the deskilling, fragmentation, and dehumanization of the labor process. Adopting a Grounded Theory approach, this research conducted in-depth interviews with platform delivery workers. Through the procedures of open coding, axial coding, and selective coding, three core themes were identified: platform labor risk, the gap between labor conditions and institutional protection, and constraints on union participation and the weakening of collective action. The findings suggest that platforms transfer operational risks to individual workers through technologically mediated management systems. As a result, delivery workers are increasingly trapped in conditions characterized by extended working hours and forms of self-exploitation.