Source URL: https://yro.slashdot.org/story/25/09/05/1315244/uber-india-starts-offering-drivers-gigs-collecting-and-classifying-info-for-ai-models
Source: Slashdot
Title: Uber India Starts Offering Drivers Gigs Collecting and Classifying Info For AI Models
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Summary: Uber’s Indian branch has launched a new initiative that allows rideshare and delivery drivers to earn extra income by participating in data classification tasks for AI systems. This initiative directly supports the training of generative AI models and marks a shift towards leveraging gig workers within the app for data tasks instead of relying on independent contractors.
Detailed Description: The initiative announced by Uber highlights a novel approach to involve gig workers in the AI training lifecycle, particularly within the realm of generative AI. By integrating such tasks into their app, Uber not only provides an additional income stream for drivers but also streamlines the data classification processes critical for enhancing AI capabilities.
– **Introduction of Data Classification Tasks**: Uber has started offering gig opportunities where drivers can engage in activities that contribute to AI development.
– **Types of Tasks Offered**: The work includes reviewing photos, counting objects, classifying text, recording audio, and digitizing receipts, all of which are essential for enhancing AI models.
– **Earnings Opportunity**: Drivers can participate during idle times or after hours, thus making efficient use of their downtime while earning extra income.
– **Impact on AI Models**: The classified data plays a crucial role in powering AI systems used by Uber’s enterprise customers and helps in training generative AI models.
– **Operational Shift**: Previously, such tasks were performed by independent contractors outside of the Uber platform; now, they are integrated into the Uber ecosystem.
– **Geographical Reach**: The gigs are currently available in 12 cities in India, with plans for worldwide expansion as indicated by Uber’s executives.
This initiative is particularly relevant to professionals in AI and cloud sectors, as it brings to light innovative ways for companies to harness the gig economy to enhance AI data quality while creating new income streams for workers. The results are reportedly promising, suggesting a successful scalability potential that could reshape future gig-based work scenarios in the tech industry.