"Tina Lynn Wilson of Hamilton, Ont., has been freelancing for a company called DataAnnotation. The 45-year-old says she loves the work, which involves checking responses from an AI model for grammar, accuracy and creativity. It calls for analytical skills and an eye for detail and she also gets some interesting projects, like choosing the better of two samples of poetry. Because it is a creative response, there would be no fact-checking involved. You would have to indicate what the better reply is and why."
"does is part of a huge, yet not well-known, network of gig workers of the emerging AI economy. Companies such as Outlier AI and Handshake AI hire them to be "artificial intelligence trainers, contracting with large AI platforms to help them train their models. Some data annotation work is poorly paid even exploitative, in other parts of the world but there's a broad range of jobs in training, tending to and correcting AI. It's labour the tech giants seem to prefer not to talk about."
Freelance workers perform data annotation tasks that assess AI outputs for grammar, accuracy, creativity and other qualities. These tasks range from fact-checking to creative judgments such as selecting superior poetry samples. Companies hire contractors as artificial intelligence trainers to fine-tune models so responses are accurate, useful and non-offensive, particularly for narrow real-world domains. Some annotation roles are poorly paid or exploitative in parts of the world, while other positions require analytical skills and specialized training. As models advance and require more specialized fine-tuning, demand for some human annotators may decline despite their current central role in model development.
Read at www.cbc.ca
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