Summary of the Core Content
This news article explores the real living conditions of a new profession: home-based robot data collectors. Amid the craze for embodied intelligence (robots that can act like humans), many people are attracted by the promise of "easy work from home" and a salary of 200 yuan per day. These data collectors are tasked with gathering motion data for robots, such as folding clothes or peeling oranges, but the job is physically demanding and poorly paid, with hourly wages below 20 yuan. Meanwhile, the companies that purchase this data earn profits that are more than ten times higher. Although these data collectors play a crucial role in driving the development of embodied intelligence, they are trapped at the bottom of the industry chain.
I. The Promise vs. Reality: How Difficult is the Job Really?
The job descriptions promise "easy work from home, no prior experience required, and a 200 yuan daily salary," but the reality is far from it:
- Heavy Equipment That Causes Injury: Workers must wear helmets and carry phones that weigh as much as two eggs each on their wrists. They also have to use grippers, which requires frequent breaks after just half an hour of work. Many mothers who try this job end up using plasters or even giving up.
- Payment is Based on Effective Time: Wages are calculated based on the quality of the video footage. To meet the requirements (e.g., 3 hours of effective time), workers often have to work for 6 hours, ensuring that the videos are complete, the movements are smooth, and the environment varies (e.g., the clothes are folded in different positions each time, and the tablecloth needs to be changed to a bright color). Even the slightest mistake can result in the data not being accepted.
- Changing Tasks and Additional Expenses: The tasks frequently change, and workers often have to buy their own props (such as children's paint brushes or cardboard), which some consider even more difficult than working in a factory and potentially costlier.
- Income Falls Short of Expectations: Despite the promised 200 yuan per day, it’s hard to earn more than 1,000 yuan in ten days, with hourly wages barely exceeding those of working at a milk tea shop.
II. Who Is Doing This Job? Marginalized Groups Under Pressure
Most of these workers are people who "need money but have no better options":
- Mothers: They try to use their spare time to supplement their household income, but the combination of childcare and work is too exhausting, often leading to injuries and giving up.
- Unemployed Individuals: For example, 38-year-old Wu Yu, who was laid off from a mid-level position in a state-owned manufacturing company due to AI, tried applying for jobs but received no responses and ended up taking part-time jobs, eventually quitting due to exhaustion and poor management.
- Students and Freelancers: Students looking for a transition in their careers, as well as freelancers (like Li Li who used to work as a after-school tutor or dishwasher), find the job too unpredictable and prefer returning to more stable jobs like dishwashing, where at least the salary is steady and there’s no risk of damaging equipment.
Their common factor is that they have been displaced by AI and cannot find stable employment, so they cling to this part-time opportunity only to realize it’s a trap.
III. Where Does All the Money Go?
The hard-earned money of the data collectors largely goes to the companies at the top of the industry chain:
- Exorbitant Profit Margins: Data collectors earn 20 yuan per hour, while the companies that purchase their data sell it to embodied intelligence firms for 300–400 yuan per hour, resulting in profit margins of 15–20 times.
- Reusability of Data: The same high-quality dataset can be sold multiple times to different clients, generating additional profits.
- Uneven Distribution of Benefits: Companies like Mifeng Technology receive substantial investments, while data collectors struggle even with basic requirements (e.g., lighter equipment or better training) and often don’t get paid fairly.
IV. The Future of This Profession: A New Opportunity or a Temporary Trend?
The future of this profession is uncertain:
- Temporary or Disposable?: Could these data collectors be just temporary workers in the development of embodied intelligence, similar to reviewers in the internet era or annotators in the AI era? Will they be replaced once robots learn the necessary tasks?
- Lack of Career Progress: Workers wonder what will happen to them after the robots take over their jobs. There seems to be no path for advancement, making this a job that provides only temporary income.
- Automation and Its Impact on Employment: The job description promises to "teach robots," but in reality, workers are driven by data collection tasks, with little time for communication or personal development.
As more people join the industry, no one knows where these data collectors will end up in the long run. This news article highlights the disparity in the benefits of technological progress, which often does not reach those who do the most manual work. They play a crucial role in driving innovation but remain at the bottom of the economic ladder.
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