In a groundbreaking move that merges gig economy work with artificial intelligence training, DoorDash has unveiled its new Tasks app, which incentivises couriers to perform everyday activities that contribute to the development of AI systems. This initiative signals a notable shift in how companies can leverage crowd-sourced data while simultaneously providing additional income streams for gig workers.
A New Way to Earn
DoorDash, the San Francisco-based delivery giant, announced the launch of its Tasks app, aimed at offering couriers the chance to earn money through “short activities” that provide valuable insights to businesses. According to Ethan Beatty, the general manager for DoorDash Tasks, this initiative aims to enhance business understanding of real-world operations while creating flexible earning opportunities for Dashers.
The Tasks app allows couriers to engage in activities such as photographing menu items for restaurants or assisting autonomous vehicles. This multifaceted approach not only enriches the data pool for training AI but also empowers couriers to choose tasks that fit into their schedules.
Filming Everyday Life for AI Development
In a unique twist, DoorDash is also piloting a standalone programme that encourages users to film themselves completing mundane tasks like folding laundry or washing dishes. These recordings are intended to aid both DoorDash’s AI systems and those of its partners in better comprehending the physical world. This effort taps into the growing need for diverse data sets in AI training, enabling more nuanced understanding and interaction with everyday human activities.
DoorDash has indicated that it is collaborating with businesses across various sectors, including retail, insurance, and hospitality, with plans to expand the types of tasks available and the geographical reach of this initiative. Currently, the Tasks app is available in select areas of the U.S., specifically excluding states like California and New York.
Following in Uber’s Footsteps
This move by DoorDash comes on the heels of a similar programme initiated by Uber, which allows drivers to earn money by completing quick digital tasks during their downtime. Uber’s initiative, which has reportedly been trialling in India, reflects a growing trend among tech companies to harness the potential of gig workers in the AI training landscape.
Both companies are exploring new avenues to leverage their vast networks of workers, turning routine tasks into opportunities for creating data that can enhance AI capabilities. This shift underscores a significant evolution in the gig economy, where workers are not just passive participants but active contributors to technological advancement.
Why it Matters
The introduction of the Tasks app by DoorDash represents a paradigm shift in the gig economy, where couriers are empowered to monetize their everyday activities while contributing to the development of AI. This model not only provides an additional revenue stream for workers but also addresses the pressing need for diverse data in AI training. As companies like DoorDash and Uber continue to explore innovative ways to engage gig workers, the implications for the future of work and technology are profound, potentially reshaping the dynamics of employment and the role of technology in our daily lives.
