DoorDash Is Letting Drivers Earn “Extra Cash” by Helping Train Its AI on the Side

Folding laundry, washing dishes, even chatting with friends—these everyday moments now come with a price tag.

DoorDash has introduced a new way for its drivers to earn extra money, and it goes far beyond food delivery. The company launched a standalone app called Tasks, where couriers can get paid to record themselves doing simple, real-world activities that help train artificial intelligence systems.

The concept feels simple, but the goal runs deeper. Each recorded action, whether it involves making a bed or speaking in another language, feeds data into AI and robotics models designed to better understand how people move and interact with the physical world. For drivers already juggling flexible work, the new option turns downtime into another income stream, one that blends gig work with the fast-growing AI economy.

How the “Tasks” App Works

The system builds on familiar gig work mechanics but introduces a different kind of job. Drivers can browse short assignments inside the app, each with a clear payout based on effort and complexity. Tasks range from filming household chores like handwashing dishes or folding clothes to recording unscripted conversations in different languages.

Some jobs focus on physical actions, while others capture audio or visual data. More complex assignments, such as repotting plants or completing multi-step activities, typically pay more. The structure mirrors traditional gig platforms—quick tasks, upfront pay, and flexible timing—but the output serves a very different purpose.

DoorDash has already tested similar work through its main app, where drivers complete jobs like taking pictures of restaurant menus, checking store shelves, or helping autonomous vehicles navigate tricky situations.

Why DoorDash Is Doing This Now

Behind the simple tasks sits a growing demand for something far more complex: real-world data. AI systems have improved rapidly in understanding text and images, but physical actions remain harder to model. Companies now seek large volumes of human-recorded activity to train machines to interact with the world more naturally. DoorDash sees an opportunity in its scale. With more than 8 million couriers across the U.S., the company has access to a workforce that can collect data almost anywhere.

Reach allows the company to turn everyday movement into usable data—what one executive described as a way to “digitize the physical world.”

Unlike traditional data labeling, which often happens behind a screen, these tasks capture how people perform real actions in real environments. The shift places DoorDash closer to the emerging field of robotics and embodied AI.

A New Kind of Gig Work But With Bigger Questions

The idea opens new earning opportunities, but it also raises important questions. Gig workers now play a role in building the systems that could reshape their own jobs. Data collected through these tasks may help train autonomous technologies, including delivery robots and other tools that could change how services operate in the future.

Other companies are moving in the same direction. Uber, Instacart, and staffing platforms have begun testing similar programs, turning gig workers into contributors to AI development.

For now, the work remains optional and supplemental. Some drivers see it as a quick way to earn extra cash between deliveries, while others question whether the pay matches the effort. What feels clear is the shift itself. Gig work no longer stops at deliveries or rides, it now extends into the systems shaping the future of technology.