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I Tried DoorDash’s Tasks App and Saw the Bleak Future of AI Gig Work

March 21, 2026
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I Tried DoorDash’s Tasks App and Saw the Bleak Future of AI Gig Work

The flash from my iPhone camera illuminates my dirty socks and underwear as I hold each item up for the video recording to capture clearly. As I load my smelly clothes into the washer, I tremble a bit each time the phone loudly beeps, detecting that my hands may be out of frame. Gotta see those fingers! No, I haven’t pivoted to filming some kind of fetish content to make ends meet—I’m trying the latest gig work app from DoorDash, called Tasks.

The new Tasks app from food delivery app DoorDash has nothing to do with delivering food—it’s all about gathering training data from humans, that’s you, for improving generative AI models and humanoid robots. “This data helps AI and robotic systems understand the physical world,” reads DoorDash’s press release. “Pay is shown upfront and determined based on effort and complexity of the activity.” Most of the gigs involve strapping a smartphone to your chest and recording your hands performing specific tasks.

This kind of video data can be used by developers of AI models and robotics to improve performance. For example, thousands of videos of people folding laundry, with their hands clearly visible, could help teach a robot how to do the same task using computer vision.

DoorDash plans to expand this service to include an even wider range of tasks and users in the future. It’s unclear where exactly the app is available for users at launch in the US—residents of California, New York City, Seattle, and Colorado are explicitly blocked from using Tasks. (I was able to use the Tasks app and complete gigs while residing in Kansas.)

Curious about what kinds of tasks DoorDash is offering right now, I signed up to be a “dasher” and downloaded the Tasks app. After logging in, the onboarding quest was to film yourself moving three objects across a table. Easy! I turned the camera on and shifted my coffee cup, pen, and laptop from one side of my desk to the other. My reward for this wasn’t cash—DoorDash shipped a free body-mount for my smartphone camera afterward, so I could complete more gigs in the app.

After that quick onboarding session, I could see the full list of potential jobs and start making some cash. The gigs currently available in the Tasks app mainly fall into five major categories: household chores, handiwork projects, cooking food, location navigation, and foreign language conversations.

The tasks within these categories are fairly broad. The chore list includes everything from making a bed and loading a dishwasher to repotting plants and taking out the trash. The handiwork projects range from simple tasks, like changing a lightbulb, to more complex ones, like pouring cement. The cooking gigs mostly revolve around eggs: frying them, poaching them, scrambling them. Navigation gigs include exploring a museum and walking around an apartment complex. For the language-based tasks, the app requests “natural conversations” in Russian and Mandarin Chinese, as well as other languages.

Each task has its own requirements and an overarching set of rules laid out by DoorDash. These include things like not recording minors, personal data, or anything illegal, and always asking for consent before filming anyone else. DoorDash also has a list of prohibited filming locations, like hospitals, schools, prisons, airports, and military bases.

The first task I attempted was loading my laundry into the washer. I’ve been putting it off all week anyway, so there was a hefty pile of clothes to pick up. This task required a body mount, which hadn’t arrived in the mail yet, so I just held my phone in landscape mode and grabbed the laundry with my free hand. Each article of clothing needed to be individually picked up, held in front of the camera, and then dropped into the wash.

This task paid $15 an hour, with a max time of 20 minutes. It was simple, but I was annoyed each time the phone made a beeping sound, indicating that my hands weren’t visible enough in the frame. That happened sometimes when a piece of laundry was covering my fingers. Even moving slowly, I was able to load the washer with 10 articles of clothing in about a minute and a half. The Tasks app estimated that I would make $0.37 for this video.

After seeing all the different tasks regarding eggs, I needed to try one of those next. The egg tasks paid the same rate as the laundry ones. I had to make sure my hands and the eggs were completely visible the whole time, as well as record from cracked to cooked without stopping. “Hold final egg state steady,” read the instructions. Even if I stretched out this task to the point of burning the egg, the most I could earn was $5. I gobbled it down when finished.

By this time, it was the early afternoon. After being cooped up in the house all day, performing tasks for my AI gig boss, it was time to get some fresh air. So, I picked a navigation task, “exploring a park,” which also paid $15 an hour for a max of 20 minutes.

There’s a grassy park just a couple of blocks from the house, where people play tennis and walk their dogs, so I jaunted on down, phone in hand. As I reached the paved trail, I started recording and slid my phone into the breast pocket of my shirt. I pointed the camera at landmarks, as instructed, and paused at forks in the path.

Even though the park was mostly empty, I felt like a total creep as I tried to avoid recording anyone just enjoying the sunshine. When I saw a mom jogging toward me with a stroller, I abandoned the task about five minutes in and stopped recording. Since I had issues not filming people without consent in an almost empty park, it seems nearly impossible for users to follow DoorDash’s rules for similar navigation tasks located in more crowded settings, like a hotel lobby or a museum.

Many developers working in San Francisco see these kinds of low-paying, temporary jobs performed on behalf of AI or robots as the next evolution of the gig economy. Earlier this year, the RentAHuman platform went viral for allegedly having AI agents hire humans to complete physical tasks—though in my tests, the site was all hype, no execution.

While the generative AI and robotics industries are still receiving billions of dollars in investment, my slice of the pie felt like chump change. After completing three tasks in DoorDash’s app, my estimated pay was less than $10. That’s just enough to buy some more eggs and a snack on the walk back home. If the robots are our new overlords one day, I hope they pay a bit more than that.

The post I Tried DoorDash’s Tasks App and Saw the Bleak Future of AI Gig Work appeared first on Wired.

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