AI Creates "Great" Jobs: $2,000 a Month, Repetitive Pulling a Lever
New jobs created by AI may actually be low-paid, repetitive "grunt work." Are these jobs really "great"?
Hook
"See, AI is creating great jobs!"—Sounds nice, right? But when you find out these "great jobs" pay only $2,000 a month and consist of repetitive mechanical operations like pulling a lever, do you still think so? A recent satirical article from Futurism exposed an awkward reality in the AI industry: the so-called new jobs might just be low-paid "data laborers."
Key Facts
According to reports (Futurism), AI companies are heavily hiring "reinforcement learning from human feedback" (RLHF) annotators. The work is monotonous: repeatedly pulling levers, clicking, and labeling data, with a monthly salary of about $2,000 (roughly 14,000 RMB). This type of role has been described as "cranking the hog" (pulling a lever), essentially being a "fuel" porter for AI. Meanwhile, other developments hint at AI's dark side: Ohio suspends tax incentives for data centers because AI consumes huge amounts of electricity, overloading the power grid; the U.S. military is cautious about advancing battlefield AI, fearing loss of control; while tech giants like Nvidia pour billions into AI stocks, they rarely mention the plight of downstream workers.
Simple Breakdown
Imagine training AI as teaching a child to recognize things: you need to feed it massive images, each labeled "this is a cat" or "this is not a dog." Previously, such work was done on crowdsourcing platforms at very low pay. With the AI boom, demand has skyrocketed, and the jobs sound respectable—"AI trainer" or "data annotator"—but in reality, they involve high-intensity repetitive labor. It's like assembly line workers turning screws in the past, now just tapping on screens.
Impact by Group
- Workers: If you're in the data annotation industry, you may face high repetition and low growth. Other high-end AI roles (e.g., algorithm engineers) are fiercely competitive and may be dominated by big companies.
- Students: Blindly following the AI trend may not be wise. Basic annotation jobs don't require high education, while truly high-paying jobs need hard skills in math and programming—not something you can pick up in a short time.
- Creators: AI-generated text and images are disrupting the content market, but if you provide high-quality manually labeled data, you may become a scarce resource.
- General Users: The AI assistant you use might be powered by these low-paid workers "pulling levers." While enjoying convenience, be aware of the exploitation.
Neutral Pros & Cons + Pitfalls
Pros: AI does create new jobs, especially data annotation offering entry-level opportunities for low-skilled people; AI itself improves efficiency and may shorten work hours. Cons: Jobs are low-paid, repetitive, with little career progression; job losses from AI remain unresolved, and new jobs may be worse. Pitfall Guide: Don't believe in marketing about "high-paying AI jobs"; be cautious of "zero-to-AI career change" training; when choosing a career, focus on skill growth potential, not just the buzzword.
Mild Humanistic Reflection
Technological progress is meant to liberate humanity, but it may create new "digital sweatshops." When we praise AI, let's not forget those silently pulling levers in the background, feeding data to algorithms. A society's civilization is measured not only by the wealth it creates, but also by how it treats its most vulnerable workers. What we need are not cheap "great jobs," but dignified labor.
Light Interactive Question
Suppose you were offered a job paying $2,000 a month, working 8 hours a day repeatedly pulling a lever—would you do it? Are you optimistic or pessimistic about the jobs AI creates? Feel free to comment below.