This study aims to identify the relationship between algorithm management in digital labor platforms and platform labor in a phenomenal way. Based upon prior studies, we approach to investigate how the algorithm management organizes platform labor. To understand the phenomenon of platform labor, we have conducted in-depth interviews with various stakeholders including a delivery platform company, delivery riders, and delivery platform consumers. By analyzing the interview manuscripts based on grounded theory methodology, we have derived three core categories such as platform algorithm management, specificity of platform labor, and platform labor by incorporating similar concepts from the coding steps. This study contributes to understanding how the platform algorithm management organizes platform labor. In addition, this study has practical implications in that our findings help many platforms understand how to control algorithm management.