
Everyday AI Podcast – An AI and ChatGPT Podcast Ep 636: Uber paying drivers $1 to train AI models? A sign of what’s next
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Oct 21, 2025 Uber is engaging its drivers for just $1 to help train AI models. This controversial move raises questions about the future of gig work and the ethics of low-paid data labeling. The conversation dives into the paradox of workers potentially training models that could replace their jobs. It also explores the implications of a 'dead internet' filled with AI-generated content, emphasizing the urgent need for unique human data to improve AI models. This trend hints at a larger shift in data collection methods across industries.
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Gig Workers As Data Collectors
- Uber pays drivers as little as $1 per microtask to generate training data for its AI models.
- This signals a broader shift toward crowdsourced first-party data collection inside gig platforms.
Shift From Generalists To Specialists
- Companies are shifting from low-paid global generalists to domestic or specialized annotators.
- This trend reflects the need for higher-quality, context-aware human labels.
Treat Microtasks As Temporary Income
- Recognize microtask pay as short-term relief but not long-term security for gig workers.
- Encourage gig workers to upskill since many roles may be automated later.
