Uber Technologies Inc. is expanding its gig workforce to include programmers and data labelers.
This strategic move is part of Uber’s new division, Scaled Solutions, which aims to provide AI model training and data labeling services to both internal projects and external clients.
Uber Expanding Beyond Rideshare
Uber, traditionally known for its rideshare services, is now venturing into the rapidly growing market of artificial intelligence development.
The company’s new division, Scaled Solutions, will leverage Uber’s gig-economy expertise.
It will also leverage technological infrastructure to offer data labeling and AI training services.
This expansion allows Uber to tap into a new revenue stream and diversify its business model.
The demand for AI-related services has been increasing, with companies relying on high-quality datasets to train their AI models.
Uber’s Scaled Solutions division aims to meet this demand by hiring gig workers to label images, text, and videos with context for machine learning models.
This will help other businesses, including Uber’s clients like Aurora Innovation and Niantic, to develop accurate AI systems.
Global Reach and Flexible Work Opportunities
Uber is recruiting contractors with various skills in countries such as the U.S., Canada, India, Poland, and Nicaragua.
The company is seeking individuals with programming expertise, language proficiency, and cultural knowledge.
These professionals will perform tasks such as image labeling, text annotation, and video context provision.
This global approach allows Uber to tap into diverse talent pools and provide localized services to its clients.
Uber’s gig workforce model offers flexible work opportunities for contractors.
Earnings are determined by the tasks completed. Payments are made monthly, aligning with Uber’s existing model for its rideshare and delivery services.
This flexibility attracts a wide range of skilled workers who can contribute to Uber’s AI projects on a part-time or freelance basis.
Uber’s Vision for Scaled Solutions
Uber’s vision for Scaled Solutions extends beyond basic data labeling.
The company plans to utilize contractors’ local knowledge for cultural adaptation of products.
Additionally, it will engage programmers to refine AI chatbots and recruit freelancers to evaluate outputs from advanced AI language models.
This comprehensive approach ensures that Uber can provide high-quality AI services to its clients and support its internal projects effectively.
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