Meet the Journalists Training AI Models for Meta and OpenAI

After completing a journalism graduate degree, Carla McCanna took a job 'training AI models to optimize accuracy and efficiency,' according an article by Nieman Journalism Lab:

Staff jobs are scarce... and the competition for them is daunting. (In 2024, the already beleaguered U.S. news industry cut nearly 5,000 jobs, up 59% from the previous year, according to an annual report from Challenger, Gray & Christmas....) For the past couple months, McCanna has been working close to full-time for [AI training data company] Outlier, picking up projects on its gig platform at about $35 per hour. Data work has quickly become her primary source of income and a hustle she's recommended [to her journalism program classmates]. 'A lot of us are still looking for jobs. Three times I told someone what I do, and they're like, please send it to me,' she said. 'It's hard right now, and a lot of my colleagues are saying the same thing.'

McCanna is just one of many journalists who has been courted by Outlier to take on part-time, remote data work over the past year... Several of them told me they have taken on Outlier projects to supplement their income or replace their work in journalism entirely, because of dwindling staff jobs or freelance assignments drying up. Some are early-career journalists like McCanna, but others are reporters with over a decade of experience. One thing they all had in common? Before last year they'd never heard of Outlier or even knew that this type of work existed.

Launched back in 2023, Outlier is a platform owned and managed by Scale AI, a San Francisco-based data annotation company valued at $13.8 billion. It counts among its customers the world's largest AI companies, including OpenAI, Meta, and Microsoft. Outlier, and similar platforms like CrowdGen and Remotasks, use networks of remote human workers to improve the AI models of their clients. Workers are paid by the hour for tasks like labeling training data, drafting test prompts, and grading the factual accuracy and grammar of outputs. Often their work is fed back into an AI model to improve its performance, through a process called reinforcement learning with human feedback (RLHF). This human feedback loop has been core to building models like OpenAI's GPT and Meta's Llama.
Aside from direct recruitment messages, I also found dozens of recent public job postings that underscore this growing trend of hiring journalists for data work... Rather than training a replacement, McCanna sees her data work as an asset, growing her knowledge of AI tools as they continue to embed in the workplace. 'Actually doing this work you realize AI models still need us... I think it's going to be a really, really long time until they can truly write like humans.'

Read more of this story at Slashdot.