Many of the world's workers rely on digital platforms for their income. In Venezuela, a nation grappling with extreme inflation and where most of the workforce is self-employed, data production platforms for machine learning have emerged as a viable opportunity for many to earn a flexible income in US dollars. Platform workers are deeply interconnected within a vast network of firms and entities that act as intermediaries for wage payments in digital currencies and its subsequent conversion to the national currency, the bolivar. Past research on embeddedness has noted that being intertwined in multi-tiered socioeconomic networks of companies and individuals can offer significant rewards to social participants, while also connoting a particular set of limitations. This paper furnishes qualitative evidence regarding how this deep embeddedness impacts platform workers in Venezuela. Given the backdrop of a national crisis and rampant hyperinflation, the perks of receiving wages through various financial platforms include access to a more stable currency and the ability to save and invest outside the national financial system. However, relying on numerous digital and local intermediaries often diminishes income due to transaction fees. Moreover, this introduces heightened financial risks, particularly due to the unpredictable nature of cryptocurrencies as an investment. The over-reliance on external financial platforms erodes worker autonomy through power dynamics that lean in favor of the platforms that set the transaction rules and prices. These findings present a multifaceted perspective on deep embeddedness in platform labor, highlighting how the rewards of financial intermediation often come at a substantial cost for the workers in unstable situations, who are saddled with escalating financial risks.

翻译：全球许多工人依赖数字平台获取收入。在委内瑞拉，这个饱受极端通货膨胀困扰、多数劳动力为非正规就业的国家，面向机器学习的数据生产平台已成为许多人赚取灵活美元收入的可行选择。平台工人深度嵌入由众多企业和实体构成的庞大网络中，这些中介机构负责用数字货币支付工资，随后将其兑换为本国货币玻利瓦尔。以往关于嵌入性的研究发现，融入多层次社会经济网络既能给参与者带来显著收益，也意味着特定的限制条件。本文提供定性证据，阐述这种深度嵌入如何影响委内瑞拉的平台工人。在国家危机与恶性通货膨胀的背景下，通过各类金融平台获得工资的好处包括：接触更稳定的货币、能够在国家金融体系之外储蓄和投资。然而，依赖众多数字和本地中介机构往往因交易费用而降低实际收入。此外，这引入了更高的金融风险，尤其是加密货币作为投资标的的不可预测性。对外部金融平台的过度依赖，通过偏向于制定交易规则与价格的平台方的权力动态，侵蚀了工人的自主权。这些发现为平台劳动中的深度嵌入提供了多维度视角，突显出金融中介的收益往往以不稳定环境中的工人承担不断升级的金融风险为代价。