
This episode discusses the evolving job market for journalists, the rise of data aggregators, and the emergence of new roles in AI training and fact-checking.
Key topics include the transition of journalists into data roles, with specific mention of job descriptions offering $40 an hour for expertise in areas like agriculture. The conversation highlights how these roles may evolve into higher-paying positions, ranging from $50,000 to $150,000 annually.
Listeners learn about the potential for a new class of workers focused on training and refining AI systems, emphasizing the benefits of improving AI for global society.
The discussion also touches on the concept of reinforcement learning as a possible title for these emerging job roles.
Journalists are transitioning to AI training roles, earning $50,000 to $150,000 annually.

This could be a $50 to $150,000 a year job.J-Cal Explains a New Job Class Created by AI: Reinforcement Learner
Every time you make the AI a little better, everyone benefits.J-Cal Explains a New Job Class Created by AI: Reinforcement Learner