Empower teams with access to world-class content from 350+ top companies and universitiesLearn more
Empower teams with access to world-class content from 350+ top companies and universities
The soaring demand for AI skills has revealed a sizable gap between the skills employers need now and the capabilities of today’s workforce.
The types of AI job skills and popular AI-based jobs offer diverse opportunities for those with the education, expertise, and abilities to work with the technology today and continue growing as it evolves. Let’s explore some popular AI jobs and the AI skills in demand among many of today’s employers.
AI jobs and career opportunities
AI jobs fall under the broader category of computer and information technology (IT) careers. The US Bureau of Labor Statistics projects that all jobs in this category will grow much faster than other occupations, with about 377,500 job openings each year in the decade leading up to 2032 [3]. This estimate represents strong job growth; however, the demand for AI skills and specialties may outpace that number.
*All salary data is sourced from Glassdoor as of October 2023.
Benchmark your talent with global skill insightsSee how millions of learners in 100 countries are strengthening critical skills.Global Skills Report
Benchmark your talent with global skill insights
See how millions of learners in 100 countries are strengthening critical skills.
1. AI engineer
Average base US salary:$104,891 [4]
Requirements:Bachelor’s degree; some employers may prefer master’s and certifications
AI engineers work with AI-based algorithms, programming and training them to perform their intended functions. They might work on various types of projects, using coding languages such as Python or Java and algorithms and deep learning applications. AI engineers can also specialize in a specific area, such as research, to help develop the technology or find new uses for it. Some experience and knowledge of data science, programming, and engineering, in addition to AI skills like working with machine learning algorithms, is required.
Additionally, AI ethics engineers will likely play a growing role as companies and society balance AI technologies and initiatives with ethical concerns and considerations. In this role, engineers can work to develop ethical standards, guidelines, and policies for AI development. They may review projects to pinpoint potential concerns or identify risks and make sure the product complies with the standards in place.
2. Natural language processing engineer
Average base US salary:$101,424 [5]
Requirements:Bachelor’s degree or certificate plus experience; some employers require a master’s or PhD
A natural language processing engineer will develop, program, and maintain natural language processing systems and projects. They will rely heavily on predictive modeling, algorithms, mathematics, coding, and tasks like language modeling and grammatical tagging, which make it easier for computers to understand the meaning of human language.
3. AI research scientist
Average base US salary:$123,040 [6]
Requirements:Advanced degree and relevant experience
This role works on the front lines of AI, researching new models and algorithms and finding new and innovative uses for AI technology. Although the tasks vary depending on the position and company, AI research scientists may collaborate with others on research to further an organization’s goals. They may also participate in experiments and write code, apply analysis to product development, delve into the theories behind AI, and design new applications.
Build Generative AI skills across your organizationLearn more about Coursera’s new Generative AI (GenAI) for everyone.Learn more
Build Generative AI skills across your organization
Learn more about Coursera’s new Generative AI (GenAI) for everyone.
4. Data analyst
Average base US salary:$73,604 [7]
Requirements:Bachelor’s degree; some employers prefer an advanced degree
AI and data analysis go hand in hand, with the demand for skilled data professionals set to continue growing rapidly. A data analyst will use AI skills and tools to perform repetitive tasks, focusing on work that requires critical thinking. They may also work directly in AI, interpreting data to aid in developing models and algorithms for use across various industries ranging from health care to finance.
5. AI business strategist
Average base US salary:$111,551 [8]
Requirements:Bachelor’s degree at a minimum; master’s may be preferable
Businesses in various industries are embracing AI, which creates the need for skilled professionals who can collaborate with them and guide them to adopt the appropriate AI applications and transform strategies using AI. Like any business strategist, an AI business strategist will work to help an organization remain focused on their goals and meet their objectives.
Although requirements vary, many employers or clients prefer someone with professional experience and skills, such as the ability to make sound decisions, exercise logical thinking in any situation, and overcome challenges with a mix of strategic planning and problem-solving skills.
Types of AI job skills employers are looking for
Technical AI skills
Prompt engineering
Data science and analysis
Programming languages such as Julia, Python, C++, and Javascript
Math, including statistics and algebra
Big data technologies
Machine learning
Cognitive learning and language processing
Applying application programming interface (API)
Frameworks and algorithms
Workplace AI skills
Emotional intelligence
Interpersonal skills
Active learning and willingness to continue learning
Innovation and creative thinking
Bias detection
Analytical judgment and critical thinking
Flexibility and adaptability
Taking the next step with Coursera
GenAI is poised to be the largest technological revolution since the internet. Unlock productivity gains for your workforce and propel your organization forward withGenerative AI (GenAI) Academyfrom Coursera.
Designed for everyone, from executives to teams, GenAI Academy’s curated catalog offers new courses, short-form content, and hands-on projects from leading AI experts, including Microsoft, Stanford Online, Google Cloud, IBM, DeepLearning.AI, Vanderbilt, and many more.
Working in AI jobs requires a dedication to continuous learning. WithCoursera for Business, you can upskill your employees to meet the demands of today’s changing technology needs.
Let’s talk about making talent your advantageConnect with our team to learn how you can prepare your business for rapid change.Learn more
Let’s talk about making talent your advantage
Connect with our team to learn how you can prepare your business for rapid change.
Article sources
2.ComputerWorld. “AI-Skills Job Postings Jump 450%: Here’s What Companies Want.” Accessed August 16, 2023.
ComputerWorld. “AI-Skills Job Postings Jump 450%: Here’s What Companies Want.” Accessed August 16, 2023.
3.US Bureau of Labor Statistics. “Computer and Information Technology Occupations: Occupational Outlook Handbook.” Accessed October 31, 2023.
US Bureau of Labor Statistics. “Computer and Information Technology Occupations: Occupational Outlook Handbook.” Accessed October 31, 2023.
4.Glassdoor. “How Much Does an AI Engineer Make?.” Accessed October 31, 2023.
Glassdoor. “How Much Does an AI Engineer Make?.” Accessed October 31, 2023.
5.Glassdoor. “How Much Does a NLP Engineer Make?” Accessed October 31, 2023.
Glassdoor. “How Much Does a NLP Engineer Make?” Accessed October 31, 2023.
6.Glassdoor. “How Much Does an AI Research Scientist Make?” Accessed October 31, 2023.
Glassdoor. “How Much Does an AI Research Scientist Make?” Accessed October 31, 2023.
7.Glassdoor. “How Much Does a Data Analyst Make?” Accessed October 31, 2023.
Glassdoor. “How Much Does a Data Analyst Make?” Accessed October 31, 2023.
8.Glassdoor. “How Much Does a AI Business Consultant Make?” Accessed October 31, 2023.
Glassdoor. “How Much Does a AI Business Consultant Make?” Accessed October 31, 2023.
This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
