As technology advances, AI companies are facing a growing shortage of data to train their artificial intelligence models on. In response, these companies are increasingly turning to real humans for help in creating training content. For years, gig workers have been used to train AI models on simple tasks like data annotation, photo identification, and labeling. However, as the technology becomes more advanced, more skilled individuals are needed to train the AI.
To meet this demand, companies like Scale AI and Surge AI are now hiring part-time workers with graduate degrees to write essays and creative prompts for AI bots to consume. Scale AI, for example, recently posted a job opening seeking individuals with Master’s degrees or PhDs who are proficient in English, Hindi, or Japanese and have professional writing experience in fields such as poetry, journalism, and publishing. The goal is to help AI bots improve their writing skills.
The need for skilled humans to create content for AI training is increasing as gig trainers become more sophisticated and tech giants struggle to find new data to continue training their technology. The speed at which AI models learn is causing them to run out of available resources to learn from. The vast amount of online data, including scientific papers, news articles, and Wikipedia pages, is starting to dry up.
To ensure their systems continue to learn, companies are exploring innovative ways to access data. Google has considered using data from Google Docs, Sheets
