What if washing dishes, folding clothes and picking up cups could become a job? In China, people are increasingly being paid to perform ordinary household tasks while wearing motion-capture sensors. The repetitive movements are recorded and turned into datasets that can be used to train robots to perform similar tasks.
According to a report by the South China Morning Post (SCMP), freelance workers are taking up these unusual jobs, carrying out simple actions hundreds of times while fitted with sensors. The recorded movements can include picking up cups, opening bottle caps and washing dishes. The data is then used to help develop robots for homes, factories and supermarkets.
China’s robot training jobs can pay up to $900 a month
The work is appearing on Chinese social media platforms and recruitment websites, with some jobs offering between 4,000 and 6,000 yuan a month. That is roughly $600 to $900. For some workers, the jobs offer an alternative source of income at a time when finding traditional employment can be difficult.
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How do workers train robots with everyday movements?
The basic idea is to capture how people perform physical tasks and use that information as training data for robots. A worker might be asked to pick up an object, move it to another location or perform the same household task repeatedly. Sensors record the movement, creating data that can later help robots learn how humans carry out physical actions.
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This type of work is not limited to household chores. The same approach is being explored for robots operating in less predictable environments.
Robot training moves beyond the home
In August, Shenzhen-based Physen AI partnered with a sanitation company to collect data from street cleaners. Workers were equipped with data-collection devices while sweeping roads and responding to electric bicycles passing nearby. The recordings were intended to give robots information about how to operate in real-world environments where conditions can change from one moment to the next.
The growing demand for this type of data highlights a less visible part of the robotics industry. While robots may eventually carry out household chores, factory work or street cleaning, they first need examples of how those tasks are performed by people. For workers in China, that could mean getting paid to do something as ordinary as washing a dish repeatedly, precisely and with a robot in mind.
Indrani Priyadarshini is a journalist and editorial professional specialising in technology, artificial intelligence, smart cities, green energy, and digital transformation. With over four years of experience in tech journalism and digital media, she is known for turning complex industry developments into clear, engaging, and insightful stories. Her expertise spans reporting, editorial strategy, digital publishing workflows, and in-depth coverage of emerging technologies shaping the future.
