Artificial intelligence (A.I.) and data jobs are on everyone’s lips right now, but how much do these roles really cost? A new report suggests that you can earn quite a bit in exchange for specializing in cutting-edge technology. Specifically, O’Reilly pegs the average salary for data and AI professionals at $ 146,000 a year (that’s 2,778 respondents in the US and 284 in the UK. Salaries rose an average of 2.25 percent per year. Average compensation was highest in California ($176,000), which hosts many of the Large companies operated by AI and data expertise like Google and other Silicon Valley giants.
Moreover, respondents seemed happy in their roles. “We don’t see evidence of a ‘great resignation,’” the report added. “[Twenty-two percent] of respondents said they intended to change jobs, roughly what we would have expected. Respondents seemed concerned about job security, probably because of the pandemic’s effect on the economy.”
If you’re looking to get a job in AI and / or Data, education is key. About 64 percent of respondents had some type of training or certification course, and 31 percent said they had 100 hours of training in the past. While 22 percent said their job requires training, an impressive 91 percent said they wanted to learn new skills, while 84 percent said they were driven by a desire to improve their existing skills.
“When we looked at the most popular programming languages for data and AI practitioners, we didn’t see any surprises,” the report continued. “Python was dominant (61%), followed by SQL (54%), JavaScript (32%), HTML (29%), Bash (29%), Java (24%), and R (20%). C++, C#, and C were further back in the list (12%, 12%, and 11%, respectively).”
There is a chance that AI and machine learning will become mainstream in the years to come, offering more technologists the opportunity to earn high compensation by specializing in the field. According to Burning Glass, jobs that heavily involve machine learning are predicted to grow 76.3 percent for the next 10 years. In more than 220,000 jobs in the past 12 months, machine learning has been mentioned in a significant way, a fairly large number for a “niche” technology. But in order to actually land an A.I. or a data-related job, you’ll need to know your stuff—which means lots of training.
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