Numerous studies have explored the situations of gig workers in the ‘new’ gig economy. While the existing literature focuses on intermediary platforms’ algorithmic control over workers, this paper emphasizes the interpersonal and negotiable aspects of gig worker-customer interactions through an accountability perspective. We posit that algorithmic control and accountability to customers constitute two coordination mechanisms for platform HRM. The latter has gained significance as intermediary platforms adopt algorithmic management and empower customers as visible supervisors. Algorithm-mediated customer control assigns customers direct influence, thereby positioning them as prominent accountability sources and compelling gig workers to meet their expectations. Nevertheless, how gig workers navigate their behaviors under these conditions remains unknown. This study employs a typological approach to explore gig workers’ coping strategies in response to accountabilities, providing micro-level insights into the functionality and dysfunctionality of HRM with gig platforms. Drawing from a qualitative study in the Chinese online delivery industry, we integrate metaphors from cognitive research (i.e. intuitive psychologists and intuitive economists) with the metaphor derived from accountability theory (i.e. intuitive politicians) to develop a fourfold typology grounded in two dimensions (i.e. cognitive modes and economic motives). Our findings reveal both the inevitability and possibility of accountability to customers, identifying four coping strategies (i.e. obedient, ingratiatory, defensive, and cooperative behaviors). This paper offers novel insights into the fields of accountability and HRM research, along with practical implications.