AI Engineer Salaries: Comprehensive Guide to AI Earnings

The digital world is in a state of constant flux, but two things are clear: AI is becoming increasingly important in almost every sector, and AI engineers are in increasing demand.

From health care’s AI-powered diagnostic tools to trend analysis in the fashion industry, markets are buzzing with advancements because of artificial intelligence (AI). AI engineers are the brains behind these transformations, helping to deploy AI technologies and turn them into tools that can drive business growth.

Whether you’re an aspiring AI engineer looking to put your flourishing skills to use or a forward-thinking organization searching for your own AI model expert, understanding the salary landscape is part of the journey.

How much does an AI engineer make?

The U.S. national average annual salary for an artificial intelligence engineer is around $124,500, according to Salary.com. That makes it one of the most lucrative roles in the tech industry. However, on Glassdoor the average AI engineer salary is even higher, at around $135,000.

Of course, if we look at the wider landscape of AI engineering roles, salary ranges can vary significantly. Just like any other role, salaries depend largely on experience, specialization, education, and location. Entry-level roles might see salaries around $76,000, while more seasoned candidates can expect numbers closer to the top end of the range—around $156,000 or higher.

AI engineer salary breakdown

AI engineers make an attractive yearly salary, but let’s get a little more granular. An AI software engineer's salary is about more than the base pay. Compensation might change according to bonuses and benefits. Being in a short- or long-term role can also have an impact. Let’s take a look.

Base salary

AI engineers’ earnings are hard to beat. The average salary lands at $106,386, while the overall salary range spans from $44,000 in entry-level jobs to over $173,500 for lead AI engineer roles.

Expressed on an hourly basis, AI engineers typically make an average of $51 per hour. Freelancers working on short-term projects may charge more than this to cover their self-employment expenses.

Bonuses and benefits

Beyond a generous base salary, AI engineers often receive a compensation package that includes multiple bonuses and benefits. Achieving strong company performance, meeting individual targets, or hitting key milestones are just a few ways to earn significant bonuses in this position.

In terms of benefits, those working at startups or major players in the industry, like Google or Amazon, will probably want to invest in company shares or other stock options. This investment can dramatically increase your yearly earnings, especially if the company experiences substantial success.

And the payback of becoming an AI engineer doesn’t just come as monetary benefits. Many employers will offer extensive health care benefits and other valued perks like paid time off, remote working schedules, continuing education credit, and more.

Comparison with related roles

But how does an AI engineer's salary compare to other tech roles?

In software development, developer jobs usually include those from entry-level positions (software developer I) all the way up to senior positions (software developer V). Those in entry-level positions make an average of $80,690, within a range of $72,000 to $96,000, while those in senior positions make on average $169,680, with a range of $146,755 and $196,770.

Looking at data science specifically, the salary of top data scientists is higher than many other tech jobs, at an average of $123,469 in a range of $111,644 and $136,996. There’s even earning potential as high as around $300,000 for the very small percentage of top data scientists. After all, they’re tasked with analyzing large amounts of structured and unstructured data.

The data engineer position, which prepares big data for data scientists, brings in a similar salary to AI engineers, at $132,427, with a range of $118,948 and $145,911.

While the numbers, as we’ve mentioned, will vary, there’s plenty of opportunity in the tech landscape. Given the growing need for AI engineers across multiple sectors and specialties, salary growth is also likely to occur.

Factors influencing AI engineer salaries

Expertise with AI technologies is not the only thing that impacts your paycheck. Other factors might include where you’re physically located, the company you work for, and your education.

Specialization and certifications

Specialization within AI can significantly impact salary. For instance, professionals focusing on natural language processing (NLP) or machine learning (ML) may command higher salaries due to the specialized AI skills required. Certifications in these areas can boost your earning potential.

Years of experience

As with most professions, entry-level positions are on a lower pay scale. While you may start on the lower end of the salary range, these roles will offer valuable hands-on experience and practical learning in the field.

As you gain experience, mid-level roles tend to come with a higher salary and more responsibility. At this point, AI engineers execute tasks independently and coordinate AI projects. Senior AI engineer roles have the most responsibilities and highest salaries, as they lead and oversee entire AI projects.

Education

Because artificial intelligence is such a demanding field, education can unlock a higher salary in AI engineering. A bachelor’s degree in computer science, information technology, or a related field will provide fundamental skills in programming languages like Java and Python, along with a solid understanding of AI techniques. This will set you up for entry-level positions.

A master’s degree provides more in-depth knowledge of data analytics and hands-on experience with complex data sets in specialized fields of AI like automation, computer vision, and robotics. AI engineers with this level of education can expect a higher starting salary.

Ph.D. holders will often specialize in areas like deep learning or natural language processing. This level of education makes them highly sought after in the AI market, often giving them opportunities for more prestigious roles and higher incomes.

Location

Tech hubs like San Francisco, Washington D.C., and New York City are famous for their high cost of living and corresponding high average salaries. In New York City, the average base salary for AI engineers is $144,201, while the number increases by $10k for roles in San Francisco. This is in comparison to a much lower salary of $110,966 in, for example, Mississippi.

However, with the rise of remote work and the nature of the role, geographical boundaries aren’t a big concern for AI engineers. This means they can reside in locations with a lower cost of living while working remotely for successful companies in tech hubs.

Company type

Startups, particularly in tech, often promise a unique blend of competitive compensation, stock options, and an exciting, fast-paced work environment. Many AI engineers and those in other tech roles choose to work for startups; they may have broader or more challenging job responsibilities and higher potential for bonus compensation if the startup is successful.

At the other end of the spectrum are tech giants like Microsoft, Apple, Amazon, IBM, and Intel. Companies like these can offer higher average salaries and attractive remuneration packages, given their financial positions.

But aside from tech companies, AI engineers can find work opportunities in nearly any industry. In health care, for example, AI engineers help drive innovations in patient care, while those in finance help predict market trends and mitigate risk.

Cutting-edge AI technologies

The rapid advancement in cutting-edge AI technologies like generative AI is also shaping the salary landscape for AI engineers. Those who specialize in developing and implementing these AI models are often at the forefront of innovation and, as a result, can command higher salaries.

Generative AI is particularly noteworthy for its application in creating new content, designs, and even entire systems, making expertise in this area highly valuable.

Why AI engineers are in such high demand

Companies across every sector are investing heavily in AI. According to the World Economic Forum, 86% of companies expect to adopt AI and big data technologies by 2030. This explosive growth is creating intense competition for talent and pushing up the average AI engineer salary.

Tech companies are no longer the only employers hiring AI engineers. Financial services, health care, manufacturing, and education are all adopting AI at scale. As AI continues to be developed, engineers with experience in generative AI, deep learning, and real-world system deployment are becoming especially valuable.

The rise of AI tools like ChatGPT and custom LLMs has also led to the emergence of entirely new job titles. Roles like “AI developer,” “ML engineer,” or “prompt engineer” didn’t exist a few years ago but are now in high demand, offering new career paths and higher salary ceilings.

The value of remote flexibility and cost arbitrage

A benefit to working with independent AI professionals is the ability to tap into global talent, without having to pay metro-area salaries. Freelance platforms make it easier than ever to find top-tier AI engineers in lower-cost regions, giving companies access to skills at a lower total cost.

For example, hiring a machine learning engineer in San Francisco might require a base salary of $150,000 for a livable wage. But engaging a remote freelancer with the same AI skills from a region with a lower cost of living might reduce your spend by 30-50%, without compromising quality.

Remote flexibility also helps companies scale quickly. If a project demands niche expertise in data science, generative AI, or robotics, hiring remotely through platforms like Upwork lets you fill those gaps fast, while staying within budget.

How to budget for hiring a freelance AI engineer

Whether you're hiring for a prototype or a long-term AI initiative, understanding the cost variables can help you make better decisions. Freelance AI engineers offer flexibility, but you’ll want to structure your budget based on scope, complexity, and specialization.

Define your project requirements first

Before budgeting, outline the problem you're solving. Is it a chatbot powered by generative AI, a recommendation engine, or data labeling for a machine learning model? Your project type will guide the skill level and time investment needed.

Consider hourly vs. fixed-price models

Short-term consulting or exploratory research often works better with hourly contracts. For defined deliverables—like training a model or building a tool—a fixed-price structure may provide better clarity for both parties.

Know the average rate ranges

On Upwork, freelance AI software engineers often charge between $35 and $60 per hour. Rates for highly experienced professionals or those with niche skills (e.g., Python-based LLM development) can go higher.

Don’t forget total project costs

In addition to hourly rates, factor in time for onboarding, testing, iteration, and any third-party tools or infrastructure. A $10,000 project may actually require $12,000 to cover those hidden needs.

Career growth and job outlook for AI engineers

AI engineering offers one of the most promising paths in the tech world. LinkedIn named AI engineering the fastest-growing career field in the U.S., with AI and ML engineer roles at the forefront. And that trend shows no signs of slowing, even after recent tech layoffs.

Most AI careers begin in entry-level roles, where professionals gain hands-on experience in areas like neural networks, automation, or NLP. From there, many move into mid-level roles focused on project coordination and implementation. With deeper knowledge of generative algorithms and team leadership, you can transition into senior or lead AI roles.

The field also supports lateral movement. Many AI software engineers shift into other AI roles like data scientist, software engineer, or machine learning engineer, depending on their evolving interests and skills. Continuous learning, updated certifications, and practical project experience help professionals stay competitive and future-proof their careers.

AI engineer salary FAQ 

If you’re considering a career in AI engineering but still have questions, keep reading to find the answers. 

How does an AI engineer's salary compare to a software engineer's salary?

Both an AI engineer’s and a software engineer’s salary can vary, with a large pay range from entry-level to lead roles. On average, AI engineers earn around $132,427 in the U.S., while a software engineer earns $80,610.

Are AI engineer salaries expected to rise in the coming years?

Yes, AI engineer salaries are expected to rise in the coming years. With more than 80% of companies looking to adopt technologies such as big data and AI by 2030, the high demand for AI engineers isn’t expected to slow. This increasing demand, along with the dynamic nature of the field, signals a promising future for AI engineer salaries.

How do AI engineer salaries in the U.S. compare to other countries?

AI engineer salaries in the U.S. are among the highest globally, with an average annual pay of $132,000. Countries like Australia ($96,000), China ($58,500), and India ($11,003) offer competitive salaries as well (all in U.S. dollars). Be sure to factor in the cost of living and the local job market when considering comparative numbers.

Find AI engineer jobs on Upwork

AI engineering is a growing field that offers promising careers. If you’re an AI engineer ready to embark on your next adventure, find your next client on Upwork. And if you’re a client looking for an AI specialist to take your company or project to the next level, top-notch AI professionals on Upwork are ready to help you move forward. 

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