As the tech industry goes all-in on artificial intelligence, you might not be surprised to learn that some of the most in-demand U.S. jobs focus on AI engineering, consulting, and researching.
The spotlight has been on major tech companies like OpenAI, Meta, Microsoft, and Google trying to achieve market dominance with the right talent. Still, smaller firms and startups, along with non-tech businesses, need high-quality AI professionals, too.
The search is also on for skilled individuals who can look beyond the initial adoption of AI and the first wave of integration and product launches.
“Organizations are increasingly pairing technical AI roles with human-centered, governance, and operational titles,” Christina Mancini, CEO of Black Girls Code, told Mashable. Mancini said the shift reflects a move from organizations simply experimenting with AI to using it deliberately and responsibly.
That trend is evidenced by rapidly growing interest in hiring AI consultants and strategists. That role, along with four other tech titles, recently appeared on LinkedIn’s annual roundup of the 25 fastest-growing roles in the country:
1. AI engineers
The fastest-growing role in the U.S., according to LinkedIn? AI engineer.
There are a wide variety of applications for artificial intelligence, from powering robotic systems to developing the complex algorithms that drive generative chatbots. An AI engineer can build models capable of performing tasks, along with the required production infrastructure.
AI engineers should expect to draw on extensive technical knowledge for building AI agents, optimizing large language model output, and neural network training. They should also have comprehensive mathematical and statistical skills, LinkedIn notes.
Coursera estimates the role’s annual income at $145,080, based on Bureau of Labor Statistics data.
2. AI consultants and strategists
The second-fastest growing position in the U.S. focuses on organizational implementation of AI, according to LinkedIn. Consultants and strategists with key expertise in fields like computer science and artificial intelligence, plus business acumen, may succeed in these roles. Their job, according to LinkedIn, is to help businesses implement AI in ways that make them more efficient and strategic. This can involve project management, long-term planning, and developing ethical and responsible practices.
Self-employed consultants may charge by the hour (upwards of $300) or by project, according to LinkedIn. While salaries vary, LinkedIn estimates entry-level consultants can earn between $60,000 and $100,000. Those with much more experience may make more than $200,000 a year, according to LinkedIn.
3. Data annotators
Building and training a machine learning model often requires data annotators, also known as content analysts. Ranked as the fourth top-growing job by LinkedIn, this role is in high demand as companies rely on data annotators to evaluate metadata or raw data with labels or tags. These annotations provide context for the articles, social media posts, customer reviews, images, and videos used to train AI models, allowing them to communicate more accurately.
While entry-level data annotators may earn $20 per hour, those with AI expertise or experience handling specialized content, like medical data, can earn $100 to $180 an hour, according to LinkedIn.
Credit: Ian Moore/Mashable/Getty Images
4. Artificial intelligence and machine learning researchers
Alongside massive financial investments, private research roles have boomed as institutions expand internal teams dedicated to the progression of generative AI. Tasked with designing and testing new models, algorithms, and future applications of generative AI, these research positions take LinkedIn’s fifth spot among the fastest growing roles in the U.S.
According to Apple, their AI/ML research team studies the technology, publishes their research, and hosts and attends conferences on deep learning. Google currently has more than 1,700 job listings for roles across its research teams, including research engineers and scientists dedicated to AI in security and privacy, advertising, search, and machine learning optimization.
According to LinkedIn’s findings, the majority of these roles are offered in tech hubs: San Francisco, New York City, and now Boston. The gender divide is fairly stark, too: 74 percent of spots in this field are held by men, with an average of three years of prior experience. And the median salary is in the six figures, with Zip Recruiter putting it at $130,000 per year.
5. Data center technicians
In 2025, $61 billion went toward the infrastructure of data centers operating around the world, according to a report by S&P Global. Due in part to the energy-intensive demands of generative AI, these data centers are funded by major tech companies and a precarious model of private equity debt, according to the S&P Global report — they are also supported bureaucratically by the federal government.
Hardware specialists, including technicians tasked with overseeing the new facilities and their server networks, are in demand. These positions require physical and technical skill — they have to install and maintain servers, organize cable patch plans, and constantly monitor the vast network they physically build for people around the world to utilize. According to LinkedIn’s report, most employees in these roles were previously in IT or data center operations and career sites like Glassdoor put their median salaries around $68,000. A majority of roles are based in the Washington, D.C. metro area, Atlanta, and Columbus, Ohio — areas that overlap with growing data center hubs across the U.S.
