Key Highlights:

• DoorDash introduced a new Tasks app that pays couriers to complete AI training assignments.
• Dashers can film everyday actions or upload images to help improve automation systems.
• The collected data may support both DoorDash’s AI and partner companies across industries.
• The rollout is limited to select U.S. regions, with global expansion planned later.

DoorDash has launched a new standalone Tasks app that pays couriers to complete short assignments designed to train artificial intelligence and robotic systems. The new initiative lets Dashers earn extra income by recording videos, taking photos, or completing simple digital field tasks. DoorDash says the data will help machines better understand real-world environments.

The feature is currently available in select U.S. locations. However, the company plans to expand it to more regions and task types over time.

What is the DoorDash Tasks app, and how does it work?

The new Tasks app introduces a different kind of gig work. Instead of delivering food, Dashers complete structured assignments that generate training data for AI systems.

For example, workers may be asked to:

• Record themselves washing dishes
• Capture images of restaurant meals
• Photograph building entrances for navigation
• Speak in another language on camera
• Interact with delivery robots or autonomous vehicles

DoorDash displays payment details before each assignment begins. According to the company, compensation depends on effort and complexity.

Importantly, these activities help machines interpret physical actions, objects, and locations more accurately.

Why is DoorDash collecting videos and photos from couriers?

DoorDash says the collected footage supports AI models that need real-world visual context. These systems power logistics tools, robotics platforms, and automation workflows across industries.

In a company statement, DoorDash explained: “This data helps AI and robotic systems understand the physical world.”

Bloomberg reported that the submitted recordings may also evaluate models built by partner organizations. These partners include companies in retail, insurance, hospitality, and technology sectors.

As a result, the Tasks app turns everyday movements into structured datasets that machines can learn from.

How does DoorDash Tasks fit into the future of gig work?

The Tasks app signals a shift in how gig platforms use distributed workers. Instead of only transporting goods, couriers now help generate training datasets for AI systems.

DoorDash says more than 8 million Dashers operate across the United States. That reach gives the company access to diverse environments, objects, and routines.

Ethan Beatty, general manager of DoorDash Tasks, said the goal is to help businesses collect “on-the-ground insights” while giving Dashers more flexible earning options.

This approach effectively turns gig workers into mobile data collectors for automation infrastructure.

What types of businesses could benefit from DoorDash Tasks?

The collected datasets can support multiple use cases across industries.

Examples include:

• Retail product recognition systems
• Insurance documentation workflows
• Hotel entrance navigation tools
• Restaurant menu visualization
• Robotics interaction training

DoorDash has already listed tasks related to its partnership with autonomous vehicle company Waymo. In one example, Dashers receive payment for closing the doors of self-driving delivery cars.

These micro-interactions help improve machine awareness in real-world conditions.

How does DoorDash compare with Uber’s AI training initiatives?

DoorDash is not alone in exploring this strategy. Uber previously introduced similar opportunities for drivers to earn extra income through AI-related assignments.

Those tasks included uploading location images and capturing environmental data.

Together, these experiments show how gig platforms are expanding beyond transportation and delivery. Instead, they are building distributed data pipelines for automation systems.

This trend suggests gig workers may increasingly support AI infrastructure development in the coming years.

Where is the DoorDash Tasks app available right now?

DoorDash confirmed the rollout is limited to selected U.S. regions. However, some major areas are excluded from the initial launch.

These include:

• California
• New York City
• Seattle
• Colorado

The company says availability will expand gradually as more task categories are introduced. Future international launches are also expected. This phased rollout allows DoorDash to test workflows before scaling globally.

What does the DoorDash Tasks app mean for AI data collection?

The Tasks platform reflects a growing demand for real-world training datasets. Unlike synthetic simulations, human-captured footage provides natural context that improves machine accuracy.

By combining gig networks with structured assignments, companies can digitize everyday environments at scale.

As automation systems expand into logistics, navigation, and robotics, initiatives like this could reshape how training data is gathered. The new Tasks platform shows how DoorDash is positioning itself inside that emerging ecosystem.