Rural Indian Workers Earn Higher Wages Through AI Data Work
Chandrika, a 30-year-old teacher from Alahalli village in Karnataka, India, is now earning significantly more money through AI data work. She uses a mobile app that allows her to read text aloud in her native language, Kannada, and in return, she earns an hourly wage of about $5, nearly 20 times the Indian minimum. Unlike her day job as a teacher, she receives payment within hours instead of waiting until the end of the month. The app is part of the booming artificial intelligence (AI) industry in India.
Large language models like ChatGPT work best in languages like English due to the abundance of online data. However, in languages like Kannada, which are spoken by millions of people but have limited online resources, AI models can be biased or struggle to understand local dialects. This high demand for data in “lower-resourced” languages has created an opportunity for rural workers to earn higher wages by contributing to AI datasets in their mother tongue.
Traditionally, data work in India has been dominated by labor arbitrage companies that pay low wages to workers while selling data to foreign clients at a higher price. However, a nonprofit startup called Karya has introduced a new model in which workers receive a de-facto ownership of the data they create. Karya partners with local NGOs to prioritize job opportunities for the poorest and most marginalized communities.
Chandrika, a 30-year-old teacher from Alahalli village in Karnataka, India, is now earning significantly more money through AI data work. She uses a mobile app that allows her to read text aloud in her native language, Kannada, and in return, she earns an hourly wage of about $5, nearly 20 times the Indian minimum. Unlike her day job as a teacher, she receives payment within hours instead of waiting until the end of the month. The app is part of the booming artificial intelligence (AI) industry in India.
Large language models like ChatGPT work best in languages like English due to the abundance of online data. However, in languages like Kannada, which are spoken by millions of people but have limited online resources, AI models can be biased or struggle to understand local dialects. This high demand for data in “lower-resourced” languages has created an opportunity for rural workers to earn higher wages by contributing to AI datasets in their mother tongue.
Traditionally, data work in India has been dominated by labor arbitrage companies that pay low wages to workers while selling data to foreign clients at a higher price. However, a nonprofit startup called Karya has introduced a new model in which workers receive a de-facto ownership of the data they create. Karya partners with local NGOs to prioritize job opportunities for the poorest and most marginalized communities.
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