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China’s new robot-training jobs pay up to $900 a month for washing dishes, folding clothes

Robot-training jobs in China offered flexible work, but low pay and repetitive tasks left many workers exhausted.

Published on: Oct 18, 2026, 06:59:04 IST
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People across China are earning money by performing everyday household chores, but with an unusual twist. They must repeat the same movements hundreds of times while wearing sensors, helping train robots to carry out similar tasks in the future.

Workers in China earned up to $900 a month by doing everyday household chores to help train robots. (Representational image generated using AI)
Workers in China earned up to $900 a month by doing everyday household chores to help train robots. (Representational image generated using AI)

(Also read: ‘Robots doing Ardah’: Chinese humanoid robots perform Saudi sword dance in Riyadh)

According to a report by the South China Morning Post (SCMP), a growing number of freelance workers are using motion-capture devices to record activities such as picking up cups, opening bottle caps and washing dishes. The recordings are converted into datasets to train robots for homes, factories and supermarkets.

Jobs pay up to $900 a month

These jobs are increasingly advertised on Chinese social media and recruitment platforms, offering monthly salaries ranging from 4,000 to 6,000 yuan (approximately $600 to $900).

At a Beijing studio, Liu wore a sensor bracelet and finger-mounted chips while repeatedly moving cups and scrubbing surfaces according to instructions displayed on a computer screen.

“Rather than training robots, it feels more like teaching a two-year-old child,” Liu told mainland media outlet Jizhou Studio.

Workers were monitored for productivity and accuracy, with a daily target of 160 recorded samples. Some completed more than 260. However, Liu found the work exhausting, with repeating cleaning tasks 200 times a day already pushing her limits.

Repetitive work takes a toll

Sun, a 22-year-old student from Shanxi province, took up robot training during his summer break while searching for an internship.

His responsibilities included folding clothes, sweeping floors and recording movements. He earned 120 yuan ($18) for a day shift and 135 yuan for a night shift.

However, Sun found the earnings insufficient to compensate for the physical and mental strain. Many workers reportedly quit within weeks.

Others appreciate the flexibility. Guo Hongjuan, from Jiangsu province, works around six hours daily from home, arranging books, wiping tables and moving objects. She earns approximately 4,000 yuan monthly while caring for her child.

Robot training expands beyond homes

The industry is also expanding into outdoor environments.

In August, Shenzhen-based Physen AI partnered with a sanitation company to equip street cleaners with data-collection devices.

(Also read: Viral video: Robot smashes plates in restaurant, then starts dancing. Staff tries hard to stop it)

These devices recorded workers sweeping roads and responding to passing electric bicycles, providing information intended to help robots navigate unpredictable real-world situations.

 
ABOUT THE AUTHOR
Mahipal Singh Chouhan

Mahipal Singh Chouhan is a Senior Content Producer at Hindustan Times Digital, with nearly five years of experience in digital journalism and content production. He primarily covers offbeat, trending and human-interest stories, with a focus on emerging social media trends, online conversations and real-world incidents that capture public attention. At Hindustan Times, Mahipal works on identifying and developing fast-moving digital stories, adding context and journalistic perspective to viral moments while maintaining accuracy, clarity and readability for online audiences. Before joining Hindustan Times Digital, he was associated with DNA India, where he gained experience in newsroom workflows and digital storytelling. He holds a degree in Journalism and Mass Communication from the Vivekananda Institute of Professional Studies, Delhi. Beyond journalism, he has a keen interest in history and sports and enjoys expanding his general knowledge.

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