ANNOUNCE : Top 10 AI Jobs, Salaries and Cities

Top 10 AI Jobs
1 Comment

While we don’t have the personal androids promised to us in sci-fi films intelligence is increasingly a part of our every day Lives, with Forbes announcing 2019 the year AI will pass in the mainstream, Thanks to AI, you may Use your smartphone to deposit checks. Apps like Uber utilize AI for departure and arrival times. And AI makes recommendations on Amazon and Netflix according to your usage and preferences. Done a web search today? You probably listened with AI.

With AI becoming more deeply incorporated In our professional and personal life, the TransCruit, analytics team crunched platform information to find out more about AI jobs in 2019. What’re the top positions? Which provide the highest salaries? Where are the best opportunities? A number of our findings might surprise you.

AI job posting growth slows while interest in jobs dips.

AI job postings on Really rose 29.1% compared to last year. That increase is less than it was for the previous couple of years. AI job postings on Really rose 57.9% from May 2017 – May 2018 along with a whopping 136.3% between May 2016 and May 2017. 

Meanwhile, the interest from job seekers is leveling off: By May 2018 – May 2019, AI searches related tasks on Really decreased by 14.5 percent. In comparison, searches increased 32 percent between May 2017 and May 2018 and 49.1% between May 2016 and May 2017. This year’s fall suggests there might be more open jobs than workers to fill them. A lot of tomorrow’s AI workforce might still be in college or awaiting training.

It is worth mentioning that AI job searches don’t constantly keep pace with the number of postings. For instance, consider information scientists, whose job is to get dirty information and employ programming, visualizations and statistical modelling extract exploitable information for organizations. 

Machine learning and Deep Learning Engineers dominate the top 10 AI jobs listing.

To find out about the very generally desired AI jobs posted on Really between 2018 and 2019, our analytics team identified the 10 positions with the highest proportion of job descriptions which include the keywords intelligence, or machine learning.

We discovered that machine learning engineer job postings had the highest proportion of AI and machine learning keywords this year. Machine learning engineers develop applications and devices that utilize predictive technology, like Apple’s Siri or weather forecasting programs. They guarantee machine learning algorithms have the information that should be processed and analyze substantial amounts of real time information to make machine learning models more accurate.

While machine learning scientist jobs still have the biggest number of postings containing the applicable key terms, in 2018, they wrote a greater percentage of those postings (94.2 percent, versus 75% in 2019). 

A good deal of the jobs requiring AI skills on 2019’s top 10 were to be found on 2018’s list — like profound learning scientist, appearing for the very first time at second location. Deep learning engineers develop programming systems that mimic brain functions, among other tasks. These engineers are crucial players in 3 growing areas: autonomous driving, facial recognition and robotics. The global facial-recognition market alone is poised to grow from $3.2 billion in 2019 to $7 billion by 2024, according to one study. 

Other new jobs that made it on 2019’s top 10 list are: 

  • Senior data researcher 
  • Junior data researcher 
  • Developer consultant 
  • Director of Information science 
  • Lead data researcher 

On the other hand, director of analytics; statistician; principal scientist; computer scientist; research scientist; and data scientist jobs are contenders lacking in action this year. 

The year-over-year differences may reflect the rising demand for data scientists at all sorts of companies; a whole data science group is now needed by many employers, with staff from junior to director levels. In comparison, the 2018 list contained data science jobs that were generic, like data researcher, principal researcher and researcher. Hiring for a vast selection of experience degrees appeals to a wider range of talent, which may assist organizations better compete in the labor market. 

The top AI jobs by ordinary salary 

Machine learning engineer isn’t only the top AI job with respect to the number of job postings, it also controls one of the greatest paychecks. Plus it’s the function with the biggest boost in average yearly salary, as compared with 2018.

The top AI jobs by ordinary salary 

Machine learning engineer topped our list for job this year, after coming in 2018. The salary has grown and also the ranking — this year the average yearly salary for this position is $8,409 greater than last year’s. That’s an increase of 5.8 percent, when when compared to the typical 2.9% salary increase that HR company Mercer predicted for 2019. 

Likewise an algorithm engineer’s typical yearly salary rose to $109,313 this year — an increase of $5,201, approximately 5%. Both salary bumps are a result of organizations’ spending more to bring talent to these crucial roles in a aggressive AI job market. 

As with all our previous list, the positions that top the salary rankings show an evolution and maturation of the overall AI market. Reflective positions like director of data engineer analytics, computer researcher, statistician and research scientist were all on 2018’s list however it didn’t even crack the top 10 this year. New positions taking their location on 2019’s list comprise data science jobs, like senior data researcher and lead data researcher. 

NY and San Francisco, California leads top cities for AI jobs.

In comparison until last year, 2019’s ranking of metropolitan areas with the largest percentages of AI jobs has not changed though there are a couple shifts, and a newcomer.


In both 2019 and 2018, the New York and San Francisco, California metro areas rank first and second. Nevertheless, NY has dropped some of its advantage: Last year, the big apple included 11.6percent of AI job postings, which dipped to 9.72percent in 2019.  In comparison, San Francisco, California had a 9.6percent share in 2018, it fell to 9.2percent in 2019, but it’s currently just slightly behind new york.

New York’s top position might surprise you, till you consider that it is the home of various industries, financial services to publishing, a lot of that are currently adopting AI. Many West Coast based technology companies have a substantial presence in the region. And NY has its share of AI related technology startups, like AlphaSense, Clarifai, and Persado

Three areas have swapped places on our listings between last year and 2019. In 2018, San Jose ranked third and Washington, DC fourth . However this year, DC ranks 3rd, while San Jose is the fourth. In 2019, Boston trades places with Seattle, and Chicago cedes its 7th place position to Los Angeles. Dallas Fort Worth holds onto ninth place. And Philadelphia, last year’s 10th, is bumped off the graph by rookie Atlanta.


Can AI produce more jobs than it eliminates?

In the coming years, the major Question will continue to be if AI will generate more jobs than it disrupts.

Some studies suggest that the AI will, in fact, create more jobs than it destroys. The 2018 Future of Jobs report from the World Economic Forum discovers that by 2022, a change from the division of labour between humans and cars, or AI enabled automation, will surpass 75 million jobs however generate 133 million new ones. Gartner estimates AI will produce 2.3 million new jobs in 2020 while removing 1.8 million positions. And according to some 2019 Dun & Bradstreet report, 40 percent of organizations are adding more jobs as a consequence of adopting AI, although only 8% are cutting jobs due to the new technology.

Whatever happens, AI is likely grow and develop into a common work tool.

Eventually, every technology transitions in a niche to a mainstream tool. AI is now undergoing a transformation. & entering an era where just about everyone can leverage the power of algorithms to address the issues that matter to them.


Related Blogs

1 Comment
  • Akash Kharel

Leave us a comment