Uber just turned its transportation network into an AI training ground. The ride-hailing giant’s announcement that Indian drivers could earn some extra money by labeling data for AI systems represents a direct assault on the rapidly expanding data labeling industry.
The move positioned Uber’s over one million Indian drivers as an instant workforce competing against established players like Scale AI and Amazon’s Mechanical Turk platform.
For enterprise technology leaders, this represented a potential paradigm shift in how AI training data gets produced—and priced.
Uber just turned its transportation network into an AI training ground.
The ride-hailing giant’s announcement that Indian drivers could earn some extra money by labeling data for AI systems represents a direct assault on the rapidly expanding data labeling industry.
The move positioned Uber’s over one million Indian drivers as an instant workforce competing against established players like Scale AI and Amazon’s Mechanical Turk platform.
For enterprise technology leaders, this represented a potential paradigm shift in how AI training data gets produced—and priced.
Uber just turned its transportation network into an AI training ground. The ride-hailing giant’s announcement that Indian drivers could earn some extra money by labeling data for AI systems represents a direct assault on the rapidly expanding data labeling industry.
The move positioned Uber’s over one million Indian drivers as an instant workforce competing against established players like Scale AI and Amazon’s Mechanical Turk platform.
For enterprise technology leaders, this represented a potential paradigm shift in how AI training data gets produced—and priced.
