According to the experts, this job in technology has the potential to generate significant income.
Artificial intelligence prompting engineers, who create questions and instructions to get sophisticated answers and images from programs like ChatGPT, are highly sought-after, high-paying positions with salaries over $300,000. Forbes reported.
“They just know how to write,” says Greg Belzer, head of technology at RBC Wealth Management, as told to ZDNET. This rapidly growing field has made many professional writers enthusiastic about this field of AI, according to a vice report.
“To help you engineer quickly, you have to put yourself in the user’s shoes. It’s more than just code,” Belzer explained. “It’s not just development. It’s more like a business technology skill set combined with creativity.”
This career advice comes as AI industry leaders warn that rapidly advancing technology could displace white-collar workers.
Experts say people to be concerned about include programmers, computer programmers, journalists, software engineers, data analysts, paralegals, and legal assistants.
Data Scientist, once dubbed “The Sexiest Job of the 21st Century,” earns an average annual salary of $137,000 in New York, according to Built-in NYC.
“Today, a good prompting engineer is more expensive than a data scientist,” Belzer noted.
“It’s very difficult to find people with experience,” he added. “It’s hard to find people with more than five years of experience. You might get two or three years at most, but it’s hard to find.”
That doesn’t mean any old couch potato can make it to six figures. Experience is still preferred, just of a different kind.
“What we’re really looking for are people who are more likely to be on the business side with a technical bent,” Belzer reasoned. “Personally, I don’t want to bet until the tools are a little more advanced.”
Business author Bernard Marr says agile engineers need data, project management, organizational and communication skills.
“Just like you would give instructions and training to a human employee, you need to be able to express precisely and clearly what you want the AI to do,” Marr wrote in a May article for Forbes.
“You have to pay attention to detail. If you can dig deep into exactly what type of response or content you’re looking for, you’ll be more successful at engineering quickly.”
Belzer said there is a “significant need” for training in AI prompt writing, but the technology field is difficult to define to industry standards.
“Is it science? Is it art? Are we going to build more tools?” Belzer questioned, adding that this great gig might also be automated by AI.
“The good news is that once tools are in place, it may be easier to train AI models using prompts that are performed ‘systematically and programmatically,’” he concludes. I attached it.
Source: nypost.com
