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  • 19 minutes ago
AI systems depend on carefully labeled data. In Kerala, in southern India, that work provides new job opportunities. But critics warn of workers’ dependence on limited employment options.

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00:00The state of Kerala in India has seen a boom in tech companies.
00:04One of them is Infolks.
00:07Founded by Mujab Kholasuri in 2016, it collects and labels data to train AI.
00:15For example, a car without driver, a safe driving car, it is called autonomous driving.
00:20So in order to teach this machine or this car how to drive in traffic,
00:25what is human, what is road, what is vehicles,
00:27we teach the machines by labelling, annotating objects.
00:33Infolks now employs hundreds of workers.
00:36Among them are many women.
00:38One of them was Roshni.
00:39After her father's death, she had to help feed her family.
00:44This job feels like giving an individuality to me.
00:50I feel as an individual, like I am earning now, I am self-dependent
00:54and I have freedom, like financial freedom is something different if you are experiencing that.
01:01Compared to wages for similar jobs in countries like the US, new hires earn much less.
01:06But the chances of career advancement are good for women in Kerala businesses,
01:10especially if, like Roshni, they are educated.
01:14When we take the stories of our mothers or any women related to our family, friends or anything,
01:20we could see that they have got a lot of struggle to at least to learn or to go to
01:24work and help.
01:25But the infrastructure has changed a lot and the mentality of people has also changed a lot.
01:31But the reality is, in rural areas, people often have few other options.
01:36It's just enough to keep them dependent because they cannot leave the work,
01:41they cannot complain, they cannot ask for better conditions
01:44because otherwise they are fired and they don't have other opportunities.
01:49Roshni said that didn't apply to her.
01:51The company offered maternity pay and health insurance, for example.
01:56We could save for ourselves and we can give a better life for our family also.
02:01So this is a really good, basically, if we are comparing other companies.
02:05Thank you so much for listening to us.
02:06We'll see you next time.
02:07We'll see you next time.
02:07Kerala.
02:08We'll see you next time.
02:08I'll see you next time.
02:09Bye.
02:09Bye.

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