A phone camera flash lights up dirty laundry, while a worker films their hands folding clothes. It’s not a new social media trend—it’s a peek into DoorDash’s latest gig: capturing human actions to train AI. The Tasks app reveals a stark future for gig workers shaped by artificial intelligence.
From Food Delivery to Filming Hands
DoorDash is known for delivering meals, but its new Tasks app takes a different route. Instead of dropping off takeout, workers use their smartphones to record themselves doing everyday chores—folding laundry, moving objects, cooking eggs. The goal? Gather video data to teach AI and robots how to perform these tasks.
After signing up, workers strap their phones to their bodies, capturing precise hand movements and actions. One early assignment involved sliding a coffee cup, pen, and laptop across a table. The app then rewards users—not with cash at first, but with a free body mount to help with future tasks.
The gigs range widely. Workers might load a dishwasher, change a lightbulb, or even pour cement.
Some tasks ask for navigation through a museum or chatting in Russian and Mandarin. DoorDash says this data helps AI systems better understand the physical world, improving everything from computer vision to humanoid robots.
The Gig Economy’s Growing AI Frontier
DoorDash’s move reflects a broader shift in gig work, where apps increasingly harness human labor to train algorithms.
The International Labor Organization found over 700 digital labor platforms worldwide, many focused on ride-hailing and delivery but expanding fast into sectors like healthcare, hospitality, and tech support.
In the US alone, 16 percent of people have tried gig platforms, with 31 percent relying on them as their main source of income. But as AI tools evolve, platforms seek to use human input not just for service delivery but as raw data to build smarter machines. The Tasks app is a clear example of this trend.
Workers Caught in the Algorithm’s Grip
But the rise of AI-driven gig work makes people wonder about fairness and worker protections. Most gig workers are classified as independent contractors, which means they miss out on benefits like minimum wage safeguards, overtime pay, and health insurance. DoorDash and similar platforms can sidestep labor laws by framing their workforce as flexible and self-employed.
Human Rights Watch warns this setup leaves workers vulnerable to exploitation. Algorithms monitor their performance, tracking everything from keystrokes to off-hours behavior. The result is a work environment where control is constant but accountability is minimal.
And as AI systems improve, the demand for human input might shift from active service to passive data generation. DoorDash’s Tasks app, where workers film themselves performing simple chores, hints at a future where human labor feeds AI training pipelines—often with little pay and no job security.
What’s Next for AI Gig Work?
DoorDash plans to expand Tasks to cover more activities and reach more users. But the app already blocks residents of major cities like New York, Seattle, and Los Angeles. Why? Possibly legal concerns or pushback from labor advocates. Still, the model is clear: human workers become data providers, helping build AI that could replace many of the jobs they currently do.
For gig workers, this means facing a future where their work is scrutinized, quantified, and repurposed to train machines. The promise of flexibility masks a growing reliance on precarious labor that fuels AI development but offers little stability in return.
As DoorDash’s Tasks app rolls out, it exposes a new chapter in gig labor—one where human hands teach machines. The question is whether workers will gain from this shift or be left behind by the very technology they help create.
