Crowdsourcing labor, linked by platforms, has become a special form of labor in the digital era. Within the platform economy, this modality has shaped labor relations and organizational structures, characterized by expanding labor force diversity, with progressively blurred demographic boundaries; temporal precarity, manifested through elastic work hours coupled with algorithmic surveillance; post-fordist transition, shifting from standardized employment to platform-contingent flexibilization; and human-AI symbiosis, fostering novel ecosystems of hybridized production. At the level of subject relationship, tripartite tensions emerge among task sponsors, platforms, and workers, engaging in dialectical struggles over benefit allocation, quality control metrics, and institutional rulemaking authority. Theoretically, the adjustment of crowdsourcing labor relations under the platform economy can be carried out from three aspects: optimizing the governance mechanism of the platform economy and crowdsourcing labor mode, improving the social security level of crowdsourcing labor from the perspective of harmonious labor relations, and guiding the establishment of a labor and employment concept adapted to the trend of digital intelligence.