"AI training is a booming industry that is making the human contributors behind the screen more important than ever. As data from publicly available sources runs out, companies like Meta, Google, and OpenAI are hiring thousands of data labelers around the world to teach their chatbots what they know best. Data labeling startups like Mercor and Handshake advertise that contributors can earn up to $100 an hour for their STEM, legal, or healthcare expertise."
"Other companies are banking on armies of generalists to rate AI responses, annotate social media videos, or improve a chatbot's understanding of native languages. The flexible work appeals to parents, full-time professionals, and students alike - but it can be tedious, often convoluted, and slow to onboard. Five contractors shared how they broke into the sometimes lucrative world of AI training, including how much money they've made."
AI training is a booming industry that increases the importance of human contributors as companies exhaust publicly available training data. Major technology firms such as Meta, Google, and OpenAI are hiring thousands of data labelers globally to improve chatbot knowledge. Startups advertise specialist roles paying up to $100 per hour for STEM, legal, or healthcare expertise, while other projects use generalists to rate AI responses, annotate social-media videos, and adapt models to native languages. The work offers flexible schedules attractive to parents, full-time professionals, and students, but tasks can be tedious, convoluted, and onboarding processes often run slowly. Contractors report varied earnings.
Read at Business Insider
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