Ever wondered what happens behind the scenes to make artificial intelligence (AI) work? Uber, the ride-hailing giant, is diving into a new game – hiring gig workers to label data for AI models. This isn't your typical ride-sharing job. These workers are part of a new division called Scaled Solutions, working on projects for Uber and other big names like Aurora Innovation and Niantic.

Imagine sitting in the U. S. , Canada, or even India, and your job is to help train AI models. That's what these contractors are doing. They're labeling data to teach AI systems how to recognize objects, understand languages, and more. This market is heating up because AI needs a lot of labeled data to learn and improve.

Take Scale AI, for example. It's a company focused on data labeling, and it just raised a whopping $1 billion. That's a big vote of confidence in the importance of data labeling for AI. Uber is stepping into this hot market, using its network of gig workers to support internal projects and external customers.

This move by Uber shows how important data labeling is for AI. It's like teaching a child to recognize shapes and colors. Without labeled data, AI systems wouldn't know what they're looking at or how to respond. So, the next time you think about AI, remember the gig workers behind the scenes, making it all possible.

Uber's New Gig: AI Data Labeling with Global Workers

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