What Skills and States Boost AI Salaries the Most?

A study analyzing AI job listings says knowing these tools and being in these states hold the key to top pay.

Spencer Chin, Senior Editor

April 30, 2024

4 Min Read
The right tools and locales increase one's marketability and pay in AI.
Having skills in tools like Rust and being in high-demand states improve AI employment and pay prospects.Khanchit Khirisutchalual/ iStock / Getty Images Plus

At a Glance

  • Knowing tools like Rust and Golang help give AI job seekers higher starting salaries.
  • The states with the highest AI starting salaries are led by California and Washington.

Looking for a job in AI? Knowing Rust or Golang can help. So does being in California, Washington, New York, or Oregon.

Those are the main takeaways from the site StoryChief.io, which analyzed 12,634 job listings on Glassdoor that mention artificial intelligence and display any salary information. The information for the study was current through March 8, 2024.

The research identified the most common keywords relating to requirements like skills, education level and experience length found across all the evaluated job openings. The model then estimates each keyword’s salary value depending on the state the job is in and identifies a weighted average. Certain keywords have negative values, which does not mean fulfilling those requirements was a disadvantage. Rather, it means that job descriptions containing those keywords tend to pay less.

The study found that the ability to program in Rust gives candidates the highest pay bump. AI job advertisements containing Rust as a requirement offer a salary increase of $29,480, on average, the study said. The second highest salary bump came from Google’s open-source programming language, called Go or Golang, at $21,080.

According to the study, other pay-boosting skills include deep learning, Python, PyTorch, Scala, JavaScript and NLP. But the study also found that some skills were associated with lower salaries, which meant lower salaries than average. The table below shows different skills and their effect on average salaries.

Related:Best Undergraduate College Programs for Artificial Intelligence

Top Salary Boosting Skills for AI Jobs

#

Requirement

Salary bump ($)

1

Rust

29,480

2

Golang

21,080

3

Deep learning

15,660

4

Python

13,100

5

PyTorch

7,223

6

Scala

7,134

7

JavaScript

5,952

8

NLP

3,452

9

SQL

 -2,426

10

Java

 -2,767

11

Computer vision

 -5,882

12

R

 -6,004

13

Regression

 -6,314

14

Tree methods

 -6,852

15

Clustering

 -8,826

16

Keras

 -10,180

17

MATLAB

 -12,990

Geography Matters Too

The other major finding from the StoryChief.io study was the top-paying states for AI jobs. Not surprisingly, California has the highest salaries for AI jobs, averaging $150,110 per year. The second best-paying state for AI specialists is Washington, where average AI salaries were $143,570 per annum. These states were followed by New York, Oregon, and Nevada.

The table below lists average AI salaries by state.

Best Paying US States for AI Jobs

#

State/DC

Average AI salary ($)

1

California

150,110

2

Washington state

143,570

3

New York state

136,800

4

Oregon

134,190

5

Nevada

123,200

6

Colorado

119,920

7

Montana

117,710

8

New Hampshire

117,410

9

Connecticut

116,100

10

New Jersey

115,600

11

Rhode Island

111,440

12

Massachusetts

111,350

13

Arizona

110,650

14

District of Columbia

105,781

15

Arkansas

105,424

16

Minnesota

104,992

17

Delaware

104,802

18

Maryland

102,869

19

Georgia

102,575

20

Nebraska

102,356

21

Texas

101,305

22

Vermont

101,174

23

Illinois

100,675

24

Idaho

99,996

25

Hawaii

98,906

26

Virginia

98,715

27

Utah

98,400

28

North Carolina

97,873

29

Alabama

97,170

30

Missouri

96,355

31

Ohio

96,264

32

Wisconsin

96,154

33

Pennsylvania

95,234

34

Florida

93,859

35

Indiana

93,822

36

Wyoming

93,300

37

Iowa

93,125

38

Tennessee

92,687

39

South Carolina

92,466

40

Kansas

91,502

41

Oklahoma

91,116

42

New Mexico

90,019

43

Louisiana

89,606

44

Michigan

89,442

45

South Dakota

89,167

46

Maine

88,958

47

Kentucky

85,480

48

Mississippi

80,780

49

North Dakota

78,850

50

West Virginia

73,460

51

Alaska

69,920

Experience Helps

While AI has been around for a while, it has only been in recent years where the field has boomed. Still, the study does find that experience helps.

The study found that having over 15 years of relevant experience gives AI jobs the biggest salary bump, estimated at $56,790. Those with ten through 15 years is worth an extra $41,430 above average. Applicants with five to ten years’ worth of relevant experience should expect a $19,700 salary increase compared to their state average. Those with less than five years’ experience in AI can expect to see a salary below average.

Related:What Is the 2024 Outlook for Engineering Jobs?

Skills Matter More Than Degrees

As far as education, the study found that job listings that mention a bachelor’s degree as a requirement tend to pay $8,756 less than average. Having a master’s degree earns AI specialists an extra $1,534 per year, while PhDs tend to boost average salaries by $3,951.

However, degrees mattered less than skills, according to Valeri Potchekailov, CEO of StoryChief.io. He noted that even the highest level of education is currently valued about 7.5 times less than knowing how to code in Rust, for example. “AI is an incredibly fast-paced environment. While higher education is always valuable, the fact that employers appreciate certain specific skills sometimes more than having a particular degree evens out the playing field for those who cannot access higher education or have limited experience. This is refreshing news and opens the door to AI enthusiasts from all walks of life.”

About the Author(s)

Spencer Chin

Senior Editor, Design News

Spencer Chin is a Senior Editor for Design News, covering the electronics beat, which includes semiconductors, components, power, embedded systems, artificial intelligence, augmented and virtual reality, and other related subjects. He is always open to ideas for coverage. Spencer has spent many years covering electronics for brands including Electronic Products, Electronic Buyers News, EE Times, Power Electronics, and electronics360. You can reach him at [email protected] or follow him at @spencerchin.

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