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Human Data Harvesting

Indian Workers Paid to Film Themselves at Work

The dark side of AI training: Indian workers paid to film themselves at work, sparking concerns over exploitation and the authenticity of AI-generated content.

CSCedric Sullivan
Oct 23, 2026 · 3 min read
AI Trained on Human Labor
mostafa_meraji / Pixabay License

Indian workers are being paid to film themselves at work, with their footage used to train AI. But what does this mean for the future of work?

The news that Indian workers are being paid to film themselves at work, with their footage used to train AI models, has left me feeling unsettled. I've been tracking the rapid advancements in artificial intelligence and its potential effects on our daily lives, but nothing has hit me quite like this revelation. The idea of humans being exploited for the sake of training machines is a disturbing one, and it's hard not to wonder about the ethics behind such practices.

“It's good money, but honestly, the feeling of doing something this futuristic is what keeps me excited. I never imagined my razor techniques would be useful to a global tech company,” — Ashim

The Human Data Harvesting Industry

  • Indian workers are being paid to film themselves performing industrial tasks, such as cutting hair and trimming beards.
  • Rashdan Technologies collects and processes human-generated data from these workers.
  • The company pays $5 to $10 for eight to 10 hours of recorded work.

But what's even more concerning is that clients are now asking for multiple cameras to be rigged around a person's head, capturing the entire scene. This raises questions about worker consent and comfort with the process.

The Rise of Human-Generated Data

Every robotics company and frontier AI lab wants access to specific types of data: industrial tasks, agriculture, household chores, and small business work like pottery and garment-making. Humyn Labs, a firm that collects and processes human-generated data, has bases in Bangalore and San Francisco.

Manish Agarwal, founder of Humyn Labs, emphasizes the importance of sourcing data from a variety of factories and tasks to build deployment for specific environments. As AI continues to advance, it's essential that we prioritize transparency and accountability in human data harvesting.

AI Trained on Human Labor: Exploiting Workers Skills Unchecked

As AI becomes increasingly integrated into our lives, it's crucial that we consider the implications for workers. Will this trend lead to a future where humans are replaced by machines? Or will it create new opportunities for employment and skill-building?

I've been digging deeper into the world of human-generated data, and what I've found is both fascinating and unsettling. Take Mohammed Ashim, a hairdresser in Bengaluru who has been cutting hair and trimming beards for four years. But did you know that his work is being used to train AI models? The camera only records his hands and fingers, blurring out the faces of his clients.

Rashdan Technologies is one of the companies collecting and processing this human-generated data. They pay $5 to $10 for eight to 10 hours of recorded work. But what's striking is that they're not just looking for any old footage - they want specific types of tasks, like industrial work or household chores.

Here are some examples of the types of tasks that companies like Rashdan Technologies and Humyn Labs are collecting data on:

  • Industrial tasks: cutting hair, trimming beards, assembly line work
  • Agriculture: farming, harvesting, crop management
  • Household chores: cleaning, cooking, laundry
  • Small business work: pottery, garment-making, embroidery, candle-making

Humyn Labs is one of the leading companies in this space, with bases in Bangalore and San Francisco. They have data collectors in Latin America and Southeast Asia.

As he puts it, "You need to source across a variety of factories, a variety of tasks, in different geographies because if you want to build deployment for specific environments."

I believe that as AI continues to advance, we must prioritize transparency and accountability in human data harvesting. We owe it to ourselves and our fellow workers to ensure that the benefits of AI are shared equitably.

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