How Much Do AI Jobs Pay? AI Salaries by Role in 2026

AI jobs can pay exceptionally well, but there is no single salary for an “AI job.” Compensation varies significantly depending on the role, technical specialization, experience level, location, ind…

How Much Do AI Jobs Pay? AI Salaries by Role in 2026

AI jobs can pay exceptionally well, but there is no single salary for an “AI job.” Compensation varies significantly depending on the role, technical specialization, experience level, location, industry, and employer.

For example, current U.S. salary data from Indeed puts the average base salary for machine learning engineers at approximately $188,643 per year, while AI/ML engineers average about $153,670. Indeed's current AI career data also shows average salaries of approximately $131,121 for data scientists and $152,203 for AI developers. These figures are based on recent job-posting data and can change as the market changes. Indeed's AI career salary and job data provides current comparisons.

Government data provides another useful benchmark. The U.S. Bureau of Labor Statistics reports a May 2025 median annual wage of $120,230 for data scientists, $135,980 for software developers, and $140,300 for computer and information research scientists. These occupations overlap significantly with the skills and responsibilities found in AI careers. BLS data scientist salary data, BLS software developer salary data, and BLS computer and information research scientist data provide authoritative benchmarks.

The important takeaway is that AI can be a high-paying career field, but the highest salaries generally correspond to specialized technical skills, significant experience, scarce expertise, and roles with substantial business or research responsibility.

In Summary

AI jobs can pay from roughly the mid-five figures to well above $200,000 per year in the United States, depending on the occupation and experience level. Current Indeed data shows average salaries around $131,000 for data scientists, $153,000 for AI/ML engineers, and $189,000 for machine learning engineers. BLS data shows 2025 median wages of $120,230 for data scientists, $135,980 for software developers, and $140,300 for computer and information research scientists. Specialized senior roles can command substantially more, particularly when bonuses, equity, and other compensation are included.

How Much Do AI Jobs Pay?

AI compensation spans a wide range because artificial intelligence is a field rather than a single occupation.

An AI engineer building production machine-learning systems has a very different skill profile from an AI product manager, AI consultant, AI trainer, or data analyst who uses AI tools. Comparing all of these positions under one “AI salary” figure can therefore be misleading.

A useful way to think about compensation is by job family:

AI-related role Current U.S. salary benchmark Typical focus
Machine Learning Engineer About $188,643 average base salary Building and deploying machine-learning systems
AI/ML Engineer About $153,670 average base salary AI models, applications, infrastructure, and machine learning
AI Developer About $152,203 average salary Developing software and applications incorporating AI
Data Scientist About $131,121 average on Indeed; $120,230 BLS median Statistical analysis, modeling, experimentation, and data
Software Developer $135,980 BLS median Building software, including AI-enabled applications
Computer & Information Research Scientist $140,300 BLS median Advanced computing and AI-related research

These figures should not be treated as guaranteed salary ranges. Indeed's figures reflect salary information associated with job postings, while BLS figures represent occupational wage data. The methodologies are different, so the numbers are best used as benchmarks rather than direct one-to-one comparisons.

Machine Learning Engineer Salary

Machine learning engineering is currently one of the better-paid AI career paths.

Indeed's U.S. salary data, updated in August 2026, reports an average base salary of $188,643 for machine learning engineers, with reported salaries ranging from approximately $112,922 to $315,140. The data is based on thousands of salaries associated with job postings over the preceding 36 months. Indeed's machine learning engineer salary data provides the current figures.

The role typically involves more than simply understanding AI concepts. Machine learning engineers may build models, develop data pipelines, deploy machine-learning systems, optimize model performance, work with cloud infrastructure, and integrate models into production applications.

That technical depth helps explain the compensation.

Senior machine learning engineers can command considerably more than entry-level professionals, particularly when they have experience with large-scale systems, generative AI, machine learning infrastructure, or specialized domains.

AI/ML Engineer Salary

AI/ML engineering is another high-paying category, although salary data varies depending on the exact job title employers use.

Indeed currently reports an average U.S. base salary of approximately $153,670 for AI/ML engineers, with a reported range from about $90,623 to $260,579. The salary level varies by experience, location, employer, and specialization. Indeed's AI/ML engineer salary data provides the current benchmark.

AI/ML engineers may work with large language models, computer vision, natural language processing, predictive modeling, recommendation systems, model evaluation, machine-learning infrastructure, or other specialized AI technologies.

As with most technical occupations, simply knowing an AI tool is not enough to command the highest compensation. Employers generally pay more for professionals who can build reliable systems, solve difficult technical problems, and deliver measurable business value.

Data Scientist Salary

Data science is one of the most established career paths adjacent to artificial intelligence.

The U.S. Bureau of Labor Statistics reports a median annual wage of $120,230 for data scientists in May 2025. The lowest 10% earned less than $67,240, while the highest 10% earned more than $199,130. BLS data scientist wage information provides the full breakdown.

Indeed's current career data puts the average salary for data scientists at approximately $131,121, illustrating why salary estimates can differ depending on the methodology and data source.

Data scientists typically use statistics, programming, data analysis, experimentation, and modeling to help organizations make decisions. Some specialize in machine learning and AI, while others focus more heavily on business analytics, forecasting, experimentation, or statistical modeling.

Data science can therefore be an attractive path for professionals with backgrounds in mathematics, statistics, economics, finance, engineering, research, or analytics.

AI Developer and Software Developer Salaries

AI development increasingly overlaps with traditional software engineering.

Indeed's current AI career data reports an average salary of approximately $152,203 for AI developers. Meanwhile, the BLS reports a May 2025 median annual wage of $135,980 for software developers. BLS software developer wage data provides the government benchmark.

The distinction between an AI developer and a conventional software developer can vary significantly between employers.

An AI developer might build applications that use APIs from large language models, develop AI-powered features, integrate machine-learning models into software, or create intelligent automation workflows. A software engineer at an AI company might perform similar work under a traditional software engineering title.

For job seekers, this means it is important to search beyond the word “AI.” A company may offer excellent AI-related career opportunities without putting AI in the job title.

AI Research Scientist Salary

AI research positions can be among the most technically demanding roles in the field.

The BLS reports a median annual wage of $140,300 for computer and information research scientists in May 2025. The lowest 10% earned less than $82,200, while the highest 10% earned more than $230,630. BLS computer and information research scientist salary data provides the current government figures.

Compensation can be substantially higher in certain industries. BLS reports that computer and information research scientists working for software publishers had median wages of $211,270 in May 2025.

These positions commonly require advanced technical and mathematical skills. BLS notes that computer and information research scientists typically need at least a master's degree in computer science or a related field, although requirements vary by employer and position.

This is an important distinction for career changers. The highest-paying AI roles are not necessarily the easiest roles to enter.

What Is the Salary for Entry-Level AI Jobs?

Entry-level AI salaries vary too much to assign one reliable national number.

A new graduate entering a junior machine-learning engineering position may earn substantially more than someone entering an AI-adjacent administrative or evaluation role. Location, technical skills, degree level, employer type, and previous professional experience can all influence the starting offer.

It is also possible for career changers to enter AI without starting at the bottom of the entire labor market.

For example, an experienced project manager moving into AI implementation may bring years of project leadership experience. A marketer moving into AI marketing may retain substantial industry experience. A finance professional transitioning into AI-enabled analytics may already understand financial modeling and business decision-making.

The salary may therefore depend on the value of the combination—not simply the number of years spent working with AI.

How Much Do Senior AI Professionals Make?

Senior AI compensation can extend well beyond standard occupational medians.

Current Indeed listings illustrate the range. Recent AI/ML job postings include roles with advertised salary ranges reaching above $200,000, while senior AI/ML positions can carry substantially higher compensation depending on the company and location.

At the highest levels, compensation may include:

This means a job posting's base salary does not necessarily represent the full value of an AI compensation package.

For senior professionals, total compensation can be much more important than base salary when comparing offers.

Which AI Jobs Pay the Most?

The highest-paying AI jobs tend to combine several characteristics: advanced technical expertise, scarce skills, significant responsibility, strong business impact, and experience operating at scale.

Roles that can command high compensation include:

However, job title alone does not determine compensation. A senior AI engineer at one company could earn less than a highly experienced AI product leader at another. Company size, industry, geography, responsibilities, and compensation philosophy all matter.

How Location Affects AI Salaries

Location remains an important factor in AI compensation, although remote work has complicated traditional geographic salary models.

Indeed's current AI/ML engineer salary data shows particularly high average salaries in technology-heavy markets such as Seattle, San Francisco, and Santa Clara.

However, candidates should not assume that moving to a high-cost technology market automatically produces a better financial outcome. A $180,000 salary in a high-cost location may not provide the same purchasing power as a lower salary in a more affordable market.

Remote employers may also use geographic compensation bands. Some companies pay employees based on where they live, while others use national or international compensation structures.

Before comparing offers, consider both salary and cost of living.

Which Industries Pay AI Professionals the Most?

AI skills are valuable across numerous industries, but compensation can vary considerably.

Technology companies are obvious employers of AI professionals, but they are not the only ones. Financial services, healthcare, consulting, defense, automotive, manufacturing, retail, telecommunications, and professional services increasingly hire people with AI and machine-learning capabilities.

Specialized AI skills can be particularly valuable when they directly affect revenue, operational efficiency, risk, or product development.

For example, an AI professional working on a system that reduces millions of dollars in operational costs may have greater negotiating leverage than someone whose AI responsibilities are primarily experimental.

Why AI Skills Alone Do Not Guarantee a High Salary

AI has become a valuable skill category, but employers do not simply pay for knowledge of AI terminology.

The market rewards professionals who can use AI to solve meaningful problems.

Compare these two statements:

Weak positioning: “Experienced with generative AI and ChatGPT.”

Stronger positioning: “Designed an AI-assisted customer-support workflow that automated initial ticket classification and reduced manual triage time.”

The second statement communicates a business outcome.

That distinction becomes increasingly important as AI tools become easier for ordinary professionals to access. The value is shifting from merely knowing that AI exists to knowing how to implement, manage, evaluate, and improve AI-enabled workflows.

How to Increase Your AI Earning Potential

Develop technical depth

For technical careers, skills such as Python, SQL, machine learning, cloud computing, model deployment, data engineering, and AI infrastructure can increase the range of roles available to you.

Develop domain expertise

AI knowledge combined with deep industry knowledge can be valuable. Healthcare AI, financial AI, cybersecurity AI, manufacturing AI, and legal technology are examples of areas where domain context matters.

Learn to measure business impact

Professionals who can connect AI projects to revenue, cost reduction, productivity, risk reduction, customer experience, or other measurable outcomes are better positioned to demonstrate their value.

Build production experience

There is a major difference between experimenting with AI tools and operating AI systems in production. Experience deploying, monitoring, evaluating, and improving systems can significantly strengthen a technical candidate's profile.

Develop communication and leadership skills

Senior AI roles often require collaboration across engineering, product, business, legal, security, and executive teams. Technical knowledge alone becomes less sufficient as responsibility increases.

How Career Changers Can Enter Higher-Paying AI Roles

A career changer does not necessarily need to accept a low-paying entry-level position simply because they are new to AI.

The better approach is to identify the intersection between existing expertise and AI.

For example:

This approach allows you to retain the value of your previous career while developing the AI skills needed for the new role.

LiaHia supports professionals making career transitions through services such as career coaching, resume optimization, LinkedIn optimization, job-search management, and reverse recruiting. For professionals targeting higher-paying AI roles, positioning the combination of existing experience and new AI capabilities can be an important part of the search strategy.

How to Negotiate an AI Job Offer

Do not assume that the first salary number an employer presents is the entire compensation opportunity.

Before negotiating, research the market for the specific role, level, location, and industry. Then consider the complete compensation package.

Questions to evaluate include:

Experienced AI professionals may have more leverage because specialized technical talent can be difficult to recruit. But negotiation should be based on market evidence and the value of your experience rather than simply assuming that AI jobs automatically command six-figure salaries.

AI Salary Outlook for the Future

The long-term outlook for AI-related compensation is difficult to predict precisely because the technology and labor market are changing quickly.

However, federal employment projections provide evidence that several occupations closely associated with AI are expected to grow rapidly. BLS projects 34% employment growth for data scientists from 2024 to 2034 and 15% growth for software developers, quality assurance analysts, and testers. Computer and information research scientists are projected to grow 20% over the same period. BLS computer and information research scientist outlook provides the latest government projection.

These projections do not mean every AI worker will receive a higher salary. As AI tools become more widely available, some skills may become less scarce. At the same time, demand may increase for professionals who can build reliable AI systems, integrate AI into businesses, manage AI infrastructure, evaluate model performance, and oversee AI programs.

The strongest long-term strategy is therefore not to chase a single AI buzzword. Build skills that remain valuable as the technology evolves.

Frequently Asked Questions About AI Job Salaries

How much do AI jobs pay in the United States?

AI salaries vary substantially by occupation. Current Indeed data reports average salaries of about $188,643 for machine learning engineers, $153,670 for AI/ML engineers, $152,203 for AI developers, and $131,121 for data scientists. Government BLS data reports 2025 median wages of $120,230 for data scientists, $135,980 for software developers, and $140,300 for computer and information research scientists.

What is the highest-paying AI job?

There is no single highest-paying AI job because compensation depends on seniority, employer, location, specialization, and total compensation. Senior machine learning engineers, AI research scientists, principal AI engineers, AI architects, and AI leadership positions can command very high salaries. Total compensation can also include bonuses and equity, making comparisons based only on base salary incomplete.

Do AI jobs pay over $100,000?

Many experienced AI and technology roles pay above $100,000, particularly in the United States. BLS reports 2025 median wages above $100,000 for data scientists, software developers, and computer and information research scientists. However, not every AI-related job pays six figures. Entry-level, contract, training, evaluation, and AI-adjacent positions can have substantially different compensation levels.

How much does an AI engineer make?

Indeed's current U.S. data reports an average base salary of approximately $153,670 for AI/ML engineers, with a reported range of roughly $90,623 to $260,579. Actual compensation depends on experience, specialization, location, company, and responsibilities. Senior AI engineers and highly specialized professionals may earn substantially more through base salary, bonuses, and equity.

How much does a machine learning engineer make?

Indeed currently reports an average U.S. base salary of approximately $188,643 for machine learning engineers. Its reported salary range extends from about $112,922 to $315,140. These figures come from recent job-posting salary data and should be treated as market benchmarks rather than guaranteed compensation.

Can career changers make a high salary in AI?

Yes, although the path depends on the career changer's existing skills. Professionals who combine AI expertise with valuable experience in software engineering, finance, healthcare, product management, consulting, analytics, operations, or another specialized field may be able to move into well-compensated AI-related roles without starting their careers entirely over.

Does an AI certification increase salary?

A certification can help demonstrate structured learning, but it does not automatically increase compensation. Employers generally evaluate the complete candidate profile, including technical skills, professional experience, projects, education, communication, and demonstrated results. Certifications are most useful when they support a specific career target rather than serving as a substitute for practical experience.

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