Data Enrichment Work and AI Labor in Latin America and the Caribbean
Gianna Williams, Maya De Los Santos, Alexandra To, Saiph Savage

TL;DR
This study explores the experiences, perceptions, and social dynamics of Latin American and Caribbean crowdworkers, highlighting their pride, aspirations, and challenges in digital labor within the AI ecosystem.
Contribution
It provides the first comprehensive survey of Latin American and Caribbean crowdworkers, offering new insights into their motivations, social support, and resistance to gendered tools in digital labor.
Findings
Workers feel pride and respect for their digital labor
Crowd work is seen as a path to independence
Workers experience isolation and resistance to gendered tools
Abstract
The global AI surge demands crowdworkers from diverse languages and cultures. They are pivotal in labeling data for enabling global AI systems. Despite global significance, research has primarily focused on understanding the perspectives and experiences of US and India crowdworkers, leaving a notable gap. To bridge this, we conducted a survey with 100 crowdworkers across 16 Latin American and Caribbean countries. We discovered that these workers exhibited pride and respect for their digital labor, with strong support and admiration from their families. Notably, crowd work was also seen as a stepping stone to financial and professional independence. Surprisingly, despite wanting more connection, these workers also felt isolated from peers and doubtful of others' labor quality. They resisted collaboration and gender-based tools, valuing gender-neutrality. Our work advances HCI…
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Taxonomy
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