Artificial intelligence (AI) is transforming nearly every industry—and driving demand for professionals with specialized training in areas like machine learning, data modeling, and intelligent systems. But which AI-related careers actually pay the most? This guide ranks 12 high-paying roles based on the most relevant U.S. Bureau of Labor Statistics (BLS) salary data.
While job titles like AI engineer or machine learning engineer aren’t listed in BLS categories, we’ve mapped each role to the most appropriate classification to give you the most accurate estimate possible.
1. AI Research Scientist
BLS equivalent: Computer and Information Research Scientists
Median annual salary (May 2024): $140,910
AI research scientists typically work on cutting-edge technologies such as generative models, autonomous systems, or explainable AI. Many hold PhDs and work in R&D labs, academia, or enterprise innovation teams. Top-paying industries include software publishing ($237,990 median) and systems design ($166,620 median).
2. AI Architect
BLS equivalent: Software Developers – senior enterprise roles
Median annual salary (May 2024): $133,080
AI architects design and oversee the implementation of enterprise-scale AI systems. They manage infrastructure, ensure system interoperability, and integrate machine learning models into products and services. This role often blends software development, DevOps, and data engineering expertise.
3. Machine Learning Engineer
BLS equivalent: Data Scientists and mathematical science occupations
Median annual salary (May 2024): $112,590
Machine learning engineers build and deploy predictive models and AI applications. They bridge data science and software engineering, often using Python, TensorFlow, or PyTorch. Those in high-demand sectors like finance or healthcare can command significantly higher wages, especially with advanced degrees and experience.
4. AI Engineer
BLS equivalent: Software Developers, Quality Assurance Analysts, and Testers
Median annual salary (May 2024): $133,080 (Software Developers)
AI engineers build and optimize intelligent systems that power automation, personalization, and predictive analytics. While their responsibilities often overlap with software developers, they typically work with tools like TensorFlow, scikit-learn, and cloud-based AI frameworks. Salaries are highest in software publishing and finance, where developers earn median wages exceeding $130,000.
5. Computer Vision Engineer
BLS equivalent: Computer and Information Research Scientists or Software Developers Estimated median annual salary: ~$130,000 (composite)
Computer vision engineers develop systems that process and analyze visual data—from facial recognition to autonomous navigation. Depending on their role, they may fall under either research or development categories. Those in research-intensive roles can earn median salaries near $141,000, while those in application development may align with the $133,000 median for software developers.
6. Robotics Engineer
BLS equivalent: Computer Hardware Engineers and Software Developers
Median annual salary (May 2024): $155,020 (Computer Hardware Engineers)
Robotics engineers design, build, and program intelligent machines for manufacturing, healthcare, and defense. Many hold degrees in computer or electrical engineering with a strong AI component. While software-focused robotics roles may reflect the $133K software developer median, those working in hardware-heavy or R&D roles can reach salaries well above $150,000.
7. Data Scientist
BLS equivalent: Data Scientists
Median annual salary (May 2024): $112,590
Data scientists design and implement algorithms to extract insights from large and complex datasets. In AI contexts, they often develop and evaluate machine learning models. According to the U.S. Bureau of Labor Statistics (BLS), the top-paying industries for data scientists include computer systems design ($128,020) and management of companies and enterprises ($126,940). (Read more about how to become a data scientist.)
8. NLP Engineer
BLS equivalent: Software Developers / Data Scientists (hybrid)
Estimated median annual salary: ~$110,000
Natural language processing (NLP) engineers create systems that enable machines to understand and generate human language. Common applications include chatbots, voice assistants, and sentiment analysis tools. While not broken out separately in BLS data, this role blends data science and software development skills, suggesting salary potential in the $105K–$115K range depending on domain and seniority.
9. AI Product Manager
BLS equivalent: Computer and Information Systems Managers
Median annual salary (May 2024): $171,200
AI product managers bridge technical and business teams to guide the development of AI-driven products. While senior roles may align with the full manager salary range, entry- and mid-level product managers often earn around $100K–$120K. Those working in finance or information services may earn even more, with industry medians exceeding $170K.
10. QA Analyst / Software Tester
BLS equivalent: Software Quality Assurance Analysts and Testers
Median annual salary (May 2024): $102,610
QA analysts and software testers play a critical role in AI system development by designing test plans, identifying bugs, and ensuring software functions as intended. While many earn six-figure salaries, junior and support-level roles can fall below the $90K mark, particularly in education or government sectors.
11. AI Support Engineer
BLS equivalent: Computer Network Support Specialists
Median annual salary (May 2024): $73,340
AI support engineers assist with the deployment and maintenance of AI systems, ensuring applications and models run smoothly in production environments. Responsibilities can include monitoring system performance, debugging errors in AI pipelines, and collaborating with software or machine learning engineers to resolve issues.
12. AI Technician or Technical Support Specialist
BLS equivalent: Computer User Support Specialists
Median annual salary (May 2024): $60,340
AI technicians support the implementation and maintenance of AI-powered systems, such as configuring machine learning hardware, installing software packages, and helping teams troubleshoot tools like AI chatbots or automation platforms. These positions often overlap with traditional IT support roles but may involve additional training in AI platforms or robotics.
These roles can offer an accessible entry point into AI-adjacent careers for those without an advanced technical background, and may serve as stepping stones to higher-paying roles through continued training or certification.
What Affects Salary in AI Careers?
Several key factors influence how much you can earn with an AI-focused degree. While job title and industry matter, your background, specialization, and location also play a major role in determining salary potential.
Degree Level
Advanced roles like AI research scientist or AI architect often require a master’s degree or PhD in computer science, machine learning, or a closely related field. Entry-level positions may be accessible with a bachelor’s degree, or even an AI graduate certificate, but higher salaries generally align with more advanced education.
Technical Skillset
Employers seek candidates with hands-on experience in AI frameworks (like TensorFlow or PyTorch), data modeling, programming languages (Python, Java, C++), cloud platforms, and domain-specific knowledge such as computer vision or NLP. The more specialized your skills, the more you can command in salary negotiations.
Experience and Industry
Seasoned professionals with several years of experience in AI development, research, or product leadership tend to earn well above the median. Certain industries—such as finance, healthcare, and software publishing—also pay more for AI talent due to the critical nature of data-driven decision-making and automation in those fields.
Location
Geographic differences can significantly impact earnings. Tech hubs like San Francisco, Seattle, and New York typically offer the highest salaries to attract top-tier AI professionals, but remote work is increasingly expanding access to high-paying roles across the U.S.
Career Outlook for AI Professionals
Artificial intelligence continues to drive job growth across a wide range of industries, from healthcare and finance to logistics and education. As organizations expand their reliance on machine learning, data-driven decision-making, and automation, demand for AI talent remains high—and is projected to keep growing.
According to the U.S. Bureau of Labor Statistics, several AI-related occupations are expected to see much faster than average job growth from 2023 to 2033:
- Data Scientists: Employment projected to grow 36%—much faster than the average for all occupations
- Computer and Information Research Scientists: Projected growth of 26%
- Software Developers: Projected growth of 17%
- Computer and Information Systems Managers: Projected growth of 17%
These increases are driven by the need to design new AI systems, build scalable infrastructure, and interpret increasingly complex datasets.
In short, earning a degree or certificate focused on AI can open doors to one of the fastest-growing sectors in the U.S. economy—particularly for those who pair education with in-demand skills and hands-on experience.
FAQ About Online Master’s in Artificial Intelligence Programs
How long does it take to earn an online master’s in artificial intelligence?
Most online AI master’s programs take between 18 and 36 months to complete, depending on whether students enroll full time or part time. Accelerated options may be available.
What are the admission requirements for online AI master’s programs?
Common requirements include a bachelor’s degree (often in computer science, engineering, or a related field), letters of recommendation, a statement of purpose, and transcripts. Some programs may require prior coursework in programming, calculus, or statistics.
Can I earn an online AI master’s degree without a computer science background?
Yes—some programs accept students from non-CS backgrounds, especially if they have relevant work experience or complete prerequisite coursework. Programs with business or interdisciplinary tracks may be especially accommodating.
Are online AI degrees respected by employers?
Yes, especially when earned from accredited institutions with recognized faculty and industry partnerships. Many top schools offer online AI degrees that follow the same curriculum as their on-campus programs.
What are the most common careers for graduates of online AI master’s programs?
Graduates often pursue roles such as machine learning engineer, AI product manager, data scientist, software developer, and research scientist in both private and public sectors.
Explore Online AI Degrees
Whether you’re pursuing an advanced technical role or looking to lead AI strategy in your industry, the right education can open new doors. From full master’s programs to shorter certificate options, online learning offers flexibility and access to high-quality instruction from top institutions. To discover programs that align with your goals, explore online AI degrees.
