AI JOBS
Uber is taking its gig worker model into the world of AI, launching a new way to generate revenue while helping AI development: training AI models.
That’s right; your Uber driver could be sorting data between trips.
Its new division, "Scaled Solutions," connects businesses with gig workers for tasks like data labelling, feature testing, and localisation.
This builds on Uber's existing internal teams, which already handle similar jobs, such as converting restaurant menus for Uber Eats.
In brief:
AI training needs human input: Tasks include labelling images and reviewing AI responses.
Uber’s Scaled Solutions fills this gap: It connects businesses with gig workers for these essential jobs.
A diverse global workforce: Workers from India, Canada, and Poland help ensure AI can adapt to different cultures.
AI that speaks your language
The new division is already working with companies like Aurora, Luma AI, and Niantic.
AI models depend on human input for development, including selecting the most natural chatbot replies or identifying objects in self-driving car footage.
These tasks are repetitive but critical for improving AI.
Many companies hire workers in developing countries for these roles, often for low pay.
Uber is hiring globally, paying workers monthly based on location and job type.
They previously spent heavily on self-driving car technology but shut it down after a fatal accident.
In 2016, Uber also acquired an AI research lab, showing its long-standing interest in the field.
Gig work meets tech—welcome to the age of ‘freelance AI trainers.’