Of Glassdoor's top 50 Best Jobs in the U.S. for 2022, which were released on Wednesday, the top 12 paid a median base salary over $100,000. Those top 12 jobs were primarily in tech and coding industries, with some outliers. When Glassdoor released its Best Places to Work list for 2022, they listed many tech companies at the top because of "flexible work environments, consistent support throughout the pandemic, and a focus on better pay, benefits, and work-life balance." Enterprise Architect was listed as the best job in the U.S. because it strikes the best balance between salary, job openings, and job satisfaction based on Glassdoor ratings. The job search site also noted key skills needed to land those tech jobs that landed in the top 50 including Machine Learning, Distributed Computing, Times Series Analysis, Statistical Modeling, and Usability Testing.

Why this might be the best job at the Olympics: You have a very important role. As a field support robot, you are charged with retrieving hammers and javelins and other thrown objects during the field events. After a hammer thrower throws her hammer, you zoom out onto the hammer pitch, retrieve the spent hammer, and bring it back to the general vicinity of the hammer-throwing circle, where it will eventually be thrown again. You are an important part of the Circle of Life, Hammer Throwing Edition. You don't just limit yourself to hammers and javelins: You also help out during the rugby events.

The best job in the United States is machine-learning engineer, according to job posting site Indeed.com. With an average salary close to $150,000 and a whopping 344% growth in job postings, these engineers are in high demand throughout the country. Including stock compensation, "A.I. specialists with little or no industry experience can make between $300,000 and $500,000 a year," according to The New York Times. Beyond that, the federal government needs trained data scientists to help sort through one of the largest repositories of information in the world. Every agency relies on these specialists to compile and analyze data that affects everything from major national infrastructure plans to disaster relief in the face of hurricanes and wildfires.

The total number of job openings in the US alone rose to 7.3 million in June, according to the Bureau of Labor Statistics. Recently, I read that there are job openings at a large US-based technology company for designers of chipsets to deploy in areas such as on-device machine learning. Forecasts suggest that there will be 3.5 million unfilled cyber-security positions by 2021 . Having said that, are job-seekers today equipped with the right skills to pursue the best jobs in IT? With rapid advances in technology, what one learnt at university or in the workplace over the past years, may not be enough for application in today's business scenario.

Tech industry employment is a seller's market firmly on the side of top talent, but competition for the best jobs remains fierce. Candidates cannot skate by on common skillsets and expect to secure the lucrative salaries, prestige, and perks for which the tech sector has become known. Companies today use advanced tools and tests to weed out the pretenders and identify the people who bring truly valuable skills to the table. Unfortunately, many tech workers -- even some of the best -- don't know exactly where they stand. To combat that knowledge gap, workers are turning to the same types of advanced tools that employers use on them.

Sometimes recognition software is excellent at correctly categorizing certain types of images but totally fails with others. Some image recognition engines prefer cats over dogs, and some are far more descriptive with their color knowledge. But which is the best overall? Perficient Digital's image recognition accuracy study looked at image recognition -- one of the hottest areas of machine learning. It looked at Amazon AWS Rekognition, Google Vision, IBM Watson, and Microsoft Azure Computer Vision to compare images.

These and many other insights are from this Indeed's The Best Jobs in the U.S.: 2019 study released this week. Indeed defined the best jobs as those experiencing the fastest growth measured by the increase in job postings between 2015 and 2018, in conjunction with those offering the highest pay using a baseline salary of $75,000. Indeed's best jobs of 2019's data set is available here in Microsoft Excel. Key insights from Indeed's ranking of the best jobs of 2019 include the following:

Machine learning engineer is the best job of 2019, according to an Indeed report released Thursday. With an average base salary of $146,085 and an impressive 344% growth in job postings, machine learning engineers are expected to continue on this growth track in the coming years, the report found, as more companies begin to integrate artificial intelligence (AI) and machine learning into everyday processes. The report determined the top 25 jobs of 2019 by analyzing jobs with a base salary of at least $75,000, at least 20 job postings per 1 million total postings, and the growth in share of listings from 2015 to 2018. This list indicates that the best jobs aren't confined to one industry, but are spread through a wide array of fields. SEE: Free machine learning courses from Google, Amazon, and Microsoft: What do they offer?

These and many other fascinating insights are from Glassdoor's 50 Best Jobs in America for 2019 released today. The report highlights the 50 best jobs based on each job's overall Glassdoor Job Score. The Glassdoor Job Score is determined by weighing three key factors equally: earning potential based on the median annual base salary, job satisfaction rating and the number of job openings. The jobs that made this list stand out across all three categories. "There's no question that emerging technologies designed to grow and scale business, such as artificial intelligence, machine learning, and automation are having an impact on the types of jobs employers are hiring for across the country. As a result, we're seeing a spike in demand for highly-skilled workers in 2019," said Glassdoor Economic Research Analyst Amanda Stansell.

General Motors's Cadillac outscored Tesla in a new ranking of partially automated driving systems tested by Consumer Reports, The highly influential nonprofit organization, which tests and rates a variety of consumer products from mattresses and baby food to vehicles, said it compared Cadillac's Super Cruise and Tesla's Autopilot with similar systems from Nissan and Volvo Car. It ranked the Cadillac system as top, followed by Tesla, Nissan and Volvo. Testers said Cadillac's Super Cruise system'does the best job of balancing high-tech capabilities with ensuring that the car is operated safely and that the driver is paying attention'. 'Easy to engage Tesla's Autopilot and clear to drivers whether the system is on or off' 'In Consumer Reports' first-ever ranking of partially automated driving systems, Cadillac's Super Cruise was top-rated because our testing shows it does the best job of balancing high-tech capabilities with ensuring that the car is operated safely and that the driver is paying attention,' it concluded. The results are a blow to Elon Musk's Tesla, which has prided itself on its technical innovation.