DoorDash Offers New Way to Make Money: Training Artificial Intelligence

DoorDash is expanding income opportunities for its delivery workers in the United States with a new feature that goes beyond traditional deliveries.

The company announced in a statement the launch of “Tasks,” a tool that allows workers to earn additional income by completing simple activities that help train artificial intelligence systems, boosting DoorDash AI tasks earnings.

Why it matters: This initiative opens a new flexible income stream within the digital economy, especially for those already working as delivery drivers who want to diversify their earnings without taking on more orders.

How “Tasks” works and how to earn money with DoorDash

The new feature is based on short activities that drivers can complete during their free time or between deliveries.

They do not require advanced technical skills and are designed to be quick and accessible.

Available tasks include actions such as:

Taking photos of dishes in restaurants

Capturing building entrances

Recording information about businesses

Other activities may include recording everyday tasks or even interacting in different languages.

The goal is to collect real-world data that helps companies improve their digital systems, particularly in areas like artificial intelligence and robotics.

DoorDash AI Tasks Give You Earnings – Infographic: MundoNow – NotebookLM

Why companies need this type of data

One of the biggest challenges for technology is understanding what happens in the physical world in real time.

Companies need to know, for example, whether a business is still open, what a product looks like in-store, or whether a building entrance is easy to locate.

DoorDash has spent years solving these types of problems within its own platform, such as locating complex addresses or verifying business information.

Now, it aims to turn that experience into a service that can benefit other industries as well.

The data collected through “Tasks” helps improve algorithms, optimize processes, and develop more accurate solutions in sectors such as retail, hospitality, insurance, and technology.

DoorDash launches a new ‘Tasks’ app that pays couriers to submit videos to train AI https://t.co/8ICl8BFdZe

— TechCrunch (@TechCrunch) March 19, 2026

How much can you earn with DoorDash tasks?

The earning model is flexible.

Each task has a set payment displayed before acceptance, allowing drivers to decide whether it is worth completing.

The amount depends on the level of effort, time required, and complexity of the activity.

This means not all tasks pay the same, but they do offer transparency upfront.

Additionally, this system allows users to generate income without constantly being on the move or completing deliveries—making it appealing for those seeking more convenient or supplemental options.

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Where is this feature available?

For now, “Tasks” is in a testing phase and is only available in certain areas of the United States. It is not currently available in states such as California, New York, Seattle, and Colorado.

DoorDash has also launched a separate app to manage these tasks, suggesting the company plans to expand this business line further in the future.

With more than 8 million delivery workers nationwide, the company has a large enough network to collect data at scale.

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DoorDash AI Tasks Give You Earnings – PHOTO: Shutterstock

A growing trend also explored by companies like Uber

DoorDash is not the only company exploring this model. At the end of 2025, Uber announced a similar feature that allows drivers and delivery workers to complete digital tasks within its app to earn extra income.

These activities also include collecting data such as photos or recordings, which are later used to train artificial intelligence systems.

This suggests that hybrid work—combining physical and digital tasks—is gaining traction within the gig economy, opening new ways to monetize workers’ time.

What this means for the future of work

The integration of digital tasks into traditional jobs marks a significant shift in how income is generated.

On one hand, it allows workers to access new revenue streams without completely changing their occupation.

On the other, it shows how companies are leveraging human networks to solve problems that technology cannot yet handle on its own.

This combination of human and artificial intelligence could become an increasingly common trend, especially in sectors where real-world data is essential.

What’s next: DoorDash plans to expand this system to more regions and types of tasks.

If successful, it could establish itself as a new category within the digital economy—where workers not only deliver products but also provide data that drives technological development and increases DoorDash AI earnings.