“It was a job Tekkılıç had fallen into and come to love. Late last year, when depression and insomnia had stalled his art career, his older sister sent him a job posting she thought would be a perfect fit for the #tech enthusiast and would help him pay for his rent and iced Americano obsession. On his best weeks, he earned about $1,500, which went a long way in Turkey. The remote work was flexible. And it let him play a small but vital role in the burgeoning world of generative AI.
Hundreds of millions of humans now use #GenerativeAI on a daily basis. Some are treating the bots they commune with as coworkers, therapists, friends, and even lovers. In large part, that's because behind every shiny new #AIModel is an army of humans like Tekkılıç who are paid to train it to sound more human-like. #DataLabelers, as they're known, spend hours reading a #chatbots answers to test #prompts and flag which ones are helpful, accurate, concise, and natural-sounding and which are wrong, rambling, robotic, or offensive”
Humans who filter, AI question/response data. Think about that if you hear marketing about the sophistication of chatbots, AI models and intelligence.
#ZeroHourWork / #WhiteCollar <https://www.businessinsider.com/ai-training-jobs-data-annotators-labelers-outlier-scale-meta-xai-2025-9> (paywall) / <https://archive.md/ejcbc>
