Crowd work in STEM‐related fields: A window of opportunity from a gender perspective?

Abstract After the Global Financial Crisis (2008) many people found new job opportunities on crowd platforms. The COVID‐19 crisis reinforced this trend and virtual work is expected to increase. Although working conditions of individuals engaged these platforms an emerging topic, research, existing literature tends overlook gendered dimension gig economy. Following a quantitative approach, based statistical analysis 444 profiles (platform Freelancer.com in Spain Argentina), we examine extent which economy reproduces gender inequalities such as underrepresentation women STEM‐related tasks pay gap. While findings reveal lower participation than men, gap not higher Argentina Spain. Moreover, variations hourly wages are marked expected, differences disappear once STEM skill levels controlled for. Asymmetry individuals' level provides better explanation wage differences. This finding opens window opportunity mitigate classical discrimination that face technological fields traditional labor markets. Finally, paper identifies some issues concerning methodological bias entailed by use application programming interface cyber‐research, when analyzing inequalities.