Across China, from the quiet corridors of community homes in Guizhou to the bustling neighborhoods of Jiangsu, a new workforce is turning everyday chores into a valuable commodity. In the Jiangjiang Street community of Huishui County, Guizhou, resident Wu Xiumei wears a head-mounted device while making her bed, wiping tables, and sweeping the floor, with every action being recorded for a purpose far beyond simple housekeeping. This is the world of the Data Collector, a role at the heart of the emerging embodied intelligence industry. Similar scenes unfold daily in a kiwifruit orchard and in the homes of young mothers like Wang Liqin in Suqian, Jiangsu, where routine tasks such as cleaning and tidying are meticulously documented to serve as learning material for robots.

This new profession, often promoted with the promise of "getting paid to do housework," is raising questions about its income potential, entry requirements, and longevity. With an increasing number of people seeking flexible employment options beyond traditional gigs like food delivery and ride-hailing, the data collection sector presents a novel opportunity. To answer these questions, we delved into the operational realities, speaking with collectors, platform operators, and industry experts to understand the true nature of this emerging role.

Tech blogger Zhao Hongmin, who recently joined several crowdsourced data collection platforms, shared his practical experience. Over two weeks, he recorded 76 minutes of video covering activities like package handling, tea brewing, and kitchen cleaning, earning a modest 26.37 yuan after platform review, which is about 87% of the submitted time. The pay structure varies by task, with rates like 30 yuan per hour for parcel unboxing and 20 yuan per hour for tasks like pet feeding or housework. While the income for an individual might seem small, the opportunity is scalable. In the city of Huishui, for instance, the company Mengqi Data has formalized this, recruiting and training locals to work as full-time data collectors. The company's operations director, Qiu Gang, explains that they use a same-day or next-day settlement mechanism, creating a stable local workforce. In Suqian, e-commerce giant JD.com has established a data collection center, where stay-at-home mothers and other residents can earn a significant side income. Experienced collectors in such programs can make anywhere from 3,000 to 4,000 yuan up to nearly 10,000 yuan per month.

A review of job listings on platforms like Boss Zhipin reveals a wide array of data collection positions, from part-time gigs paying 150 to 300 yuan per day to full-time roles with monthly salaries between 6,000 and 7,000 yuan. Despite the seemingly low barrier to entry, industry insiders emphasize that the quality standards are exacting. The head-mounted devices used by these collectors capture the world from a first-person perspective, known as Ego data collection. This is a cost-effective and scalable method to teach robots how to perform physical tasks, as opposed to more expensive methods like teleoperation or professional motion capture. Shi Jinlong, AI Product Director at Taoding Shuke, notes that while the operational threshold is low, the demand for high-quality data means that a collector's task comprehension, consistency, and adherence to standards become increasingly critical as the industry develops. The hidden cost of this work is labor, and companies are constantly seeking efficient ways to manage large, distributed teams.

Looking ahead, the demand for data is a primary driver, with the embodied intelligence industry aiming for millions of hours of training data. The Beijing Humanoid Robot Innovation Center recently announced they have delivered nearly 30,000 hours of data, with a target of 1 million hours. Meanwhile, Feifeng Technology has already produced its 20,000th Ego data collection device. JD.com has set an even more ambitious goal, planning to accumulate 10 million hours of high-quality data in the next two years, potentially involving around 600,000 people. Even international player Figure AI has launched a crowdsourcing app, offering to pay users for recording their daily tasks. However, a critical question remains: will this be a sustained profession or a temporary need? Experts like Shi Jinlong believe that while some low-value, repetitive data collection may be phased out, the need for high-quality data from complex tasks and real-world interactions will persist. The role will evolve into tiered positions, from basic collectors to specialized scenario collectors and remote operation engineers.

For individuals, the key to long-term viability is the ability to adapt and build professional skills. As robots begin to gather their own data, the reliance on manual collection may decrease, but new scenarios will continually create fresh demand. This point is underscored by the recent announcement from China's Ministry of Human Resources and Social Security, which officially recognized 11 new professions, including "embodied intelligence robot application technicians." According to a CCTV report, the next five years are expected to see the creation of over 1 million jobs in fields like data collection, providing a formal career path for what is presently an informal gig. The trajectory of this new profession is inextricably linked to the progress of the embodied intelligence industry, and its ultimate form will be shaped by practice and innovation.