This AI startup is offering New Yorkers free house cleaning — but there's a catch
Tidy up your messy apartment for free with the aid of an AI startup
As a longtime New York resident and admitted clean freak, I’ve walked into too many apartments that wouldn’t look out of place on an episode of Hoarders.
While there are plenty of cleaning companies that are willing to wade through all the junk in someone’s apartment to make it look all nice and new, one AI startup is willing to do the job for no cost at all. But like all things that sound way too good to be true, there’s a catch. And if you happen to be a New Yorker who has a less-than-fond opinion of AI, then this amazing deal won’t appeal to you whatsoever.
Here’s what this AI startup is asking for in exchange for tidying up your messy New York apartment free of charge.
That free apartment cleanup comes with an extra element you might not be expecting
Today, we're launching shift. We're starting by cleaning your apartment in New York City, for free.Here's how it works. Book a shift cleaning. A vetted shift operator comes to your home wearing one of our devices. They clean. They leave. You pay nothing.In exchange, we record… pic.twitter.com/oBrCXcEz5GMay 28, 2026
The name of this newly introduced AI company is called shift, which specializes in gathering human data that’s then sent to AI labs and robotics companies to train said robots. It’s worth noting that shift is an offshoot of the Germany-based company microagi, which also operates in the data collection industry globally.
Late last month, the company released an introductory blog accompanied by a video on X that detailed its free New York apartment services. For anyone interested in receiving those services, they must agree to letting shift’s cleaners record first-person footage of their work and have it turned into the footage needed to serve as AI training data. Since its launch on May 28 of this year, shift says it has received thousands of booking requests thus far. And from a privacy standpoint, users of this cleaning service won’t have to worry—shift says that customers' most sensitive details will be blurred out on any footage used for AI training.
If your NYC apartment is dirtier than most, shift actually appreciates it as an FAQ on their site notes that “more challenging cleaning environments can be especially useful.” But there is still a limit to what its workers will do, as the site states that cleaners “may decline any specific task they are not comfortable performing.” Feel free to book your cleaning right here if you’d like.
The statistics behind shift’s AI training data collection mission show how successful it has been thus far. Over 20,000 operators have already been paid for the data they’ve created, $5 million+ has been paid out to those data contributors thus far, over 40 participating AI labs train on their sourced data and 14 countries have joined the company’s community of users.
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The company hopes to expand its combination of cleaning services and human data collection for AI labs to other territories, as evidenced by a fan vote on its website. Places such as London, Munich, Zurich and California (which is currently leading the polls!) are currently being considered.
The takeaway
My apartment is pretty spotless (save for some dust bunnies that pop up at the corner of my eye every now and then). So the idea of a cleaning service has never really appealed to me, especially one that wants to collect human training data of said cleaning to further improve AI.
I salute shift for trying something different in a bid to collect AI training data, still. I’ll just watch from afar as my filthier friends and family members who reside in NYC get curious enough to use shift’s AI-connected cleaning services for themselves.
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Elton Jones covers AI for Tom’s Guide, and tests all the latest models, from ChatGPT to Gemini to Claude to see which tools perform best — and how they can improve everyday productivity.
He is also an experienced tech writer who has covered video games, mobile devices, headsets, and now artificial intelligence for over a decade. Since 2011, his work has appeared in publications including The Christian Post, Complex, TechRadar, Heavy, and ONE37pm, with a focus on clear, practical analysis.
Today, Elton focuses on making AI more accessible by breaking down complex topics into useful, easy-to-understand insights for a wide range of readers.
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