AI is the next big thing, and this has been proved again and again at various levels. While artificial intelligence has curbed many orthodox jobs, it has also created a new type of opportunity in the job market. LinkedIn, a professional networking platform, is reportedly paying Rs 14,000 per hour to train AI. The company is said to test this idea that could change how people work with technology. If it flourishes, then human skills will become just as important as code. At its core, AI training is less about complex coding and more about human judgement. Trainers interact with chatbots, review answers, rate their accuracy, and challenge them with difficult or unusual questions. This feedback helps improve how AI responds in real-world situations.
According to the LinkedIn data, the AI training roles are among the fastest-growing job categories in the United States market. Moreover, the roles are not limited to the tech industry, as the current openings include professionals from finance, healthcare, and language expertise.
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Job listings on the platform suggest that professionals can earn between 40 and 150 dollars per hour depending on their skills. Furthermore, those with strong knowledge of finance tools or data handling can earn close to 100 dollars per hour. Nurses are also finding similar opportunities, while senior software engineers working on complex coding tasks can reach the highest pay levels.
Other than the abovementioned, niche roles like the language experts focusing on European languages and red team testers who identify flaws in AI systems are in demand as well. According to the reports, they can typically earn between 40 and 50 dollars per hour.
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LinkedIn is not alone in this space, as companies like Scale AI, Surge AI, and Mercor are already connecting AI firms with human trainers, and the competition is growing quickly.
However, as the need of the AI trainers increases, so does the need for data protection. When you have lots of freelancers working on huge networks, the chances of having data leaks become higher. Some firms have already been under investigation for exposing data and experiencing data breaches.