Artificial Intelligence Salary In Us
The average annual salary for artificial intelligence (AI) professionals in the U.S. was $123,000 as of 2019, according to Indeed.com. The national median annual salary for AI professionals is $110,000.
Salaries vary depending on the industry and job title. For example, data scientists earned a mean annual wage of $141,500 in 2018, while computer vision engineers earned a mean annual wage of $89,500, according to the Bureau of Labor Statistics (BLS).
The BLS predicts that employment of data scientists is projected to grow by 15 percent from 2016 to 2026, which is much faster than the average for all occupations. Job opportunities for computer vision engineers are expected to increase by 17 percent from 2016 through 2026.
Artificial Intelligence Salary In Us
In a world where technology seems to become more sophisticated by the minute, the demand for artificial intelligence jobs is growing — and fast. The Enterprisers Project reports that artificial intelligence will create 133 million new jobs by 2022, and a recent survey from Dun & Bradstreet revealed that 40 percent of the respondents’ organizations are adding more jobs as a result of using artificial intelligence.
Rob Toews, a venture capitalist at Highland Capital Partners, writes about artificial intelligence for Forbes. In a recent article about the current and future state of AI, he said this: “If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.”
In this guide, learn more about the most common jobs within the ever-growing field of artificial intelligence, including salary ranges, top companies looking for the top AI talent and tips for increasing your AI salary.
- AI Salary Overview
- Comparison Table
- AI Salary by Region & State
- Top Companies Hiring for AI Positions
- How to Boost Your AI Salary
AI Salary Overview
The demand for artificial intelligence jobs is extremely high, with many salaries well into six figures. The exact numbers will depend on many factors, including the specific job responsibilities, industry, experience, education level and geographic location.
But here is a typical range: On the lower end, Indeed reports that a research engineer will make approximately $92,938 per year with a machine learning engineer making around $150,183.
According to Datamation, the average salary for an artificial intelligence programmer is between $100,000 and $150,000. AI engineers, on the other hand, earn an average of $171,715 with the top earners making more than $250,000.
Datamation explains that these high salaries are due to a rare combination of skills and the need for advanced degrees.
Comparison Table
The need for skilled artificial intelligence professionals spans almost all industries, public agencies and nonprofits, with particularly strong demand and opportunity in such fields as:
- Financial services
- Health care
- Technology and home automation
- Media
- Marketing
- Manufacturing
- National security
- Government and military
- IoT-enabled systems
- Retail
Now let’s break down the most common jobs within artificial intelligence:
| Job Title | Education | Years of Experience | Average Salary |
| Research Scientist | Expected to have a master’s or doctoral degree in computer science or a related technical field that’s supported by experience.* | The ability to demonstrate “extensive knowledge and experience” in the following areas: computer perception, graphical models, reinforcement learning and natural language processing.* | $111,351 |
| Software Engineer | Bachelor’s in software engineering, software development, computer programming, computer science, mechanical engineering. | Entry-level roles may require only an associate degree and/or experience in a technical bootcamp.+++ | $107,346 |
| AI Engineer | Bachelor’s degree in computer science, mathematics, information technology, statistics, finance or economics.++Master’s degree in computer science, math, cognitive science, data science, artificial intelligence | 5 years of experience (preferably more) in numerous programming languages.+ | Range of $114,000 to $141,000 |
| Machine Learning Engineer | Hiring companies prefer a master’s or doctoral degree in math, computer science, or AI.* | Background in applied research and data science*Entry-level engineers typically have 0-4 years of experience; mid-level engineers have 5-9 years of experience and senior positions have 10+ years of experience** | $146,801 |
| Data Scientist | Advanced degree in computer science is preferred.* | At least 2 years of experience in machine learning.*“Highly experienced in statistical computing languages and programming languages.”* Also, knowledge and experience related to cloud tools is a plus.* | $126,927 |
| Business Intelligence (BI) Developer | A bachelor’s in engineering, computer science or a related field is required. A combination of experience and certifications is desired.* | “Considerable experience” in the following: data warehouse design, data mining, SQL queries, SQL Server Integration Services, SQL Server Reporting Services, and BI technologies.* | $100,572 |
| Big Data Engineer/Architect | Preference is given to those who have completed a Ph.D. in mathematics, computer science or a related field.* | The ability “to demonstrate significant programming experience” with the following: C++, Java, Python and Scala.*Also, in-depth knowledge and experience related to data mining, data visualization and data migration.* |
