Starting a Career in Artificial Intelligence

Although first theorized in the 1950s, artificial intelligence, also known as AI, seemed out of computer scientists’ reach for decades. Recent advances show this is no longer the case. Technology such as large language models (LLMs) and text-to-image diffusion software have increased public interest in the field. Private companies and governments plan to reap the technology’s potential benefits by investing heavily in AI jobs.

With AI already impacting how people live and work, you may wonder if you need to adjust your career path. Although no one knows the future, you can start researching artificial intelligence careers. Preparing for an AI job may insulate you if AI technology disrupts the job market.

The term artificial intelligence refers not to one but three types of computer software systems. Computer scientists designed each with a specific task in mind, and their roles may change as AI technology evolves. Understanding the different areas can help you plan your AI career path.

Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.

AI has a high learning curve, but for motivated students, the rewards of an AI career far outweigh the investment of time and energy. Succeeding in the field usually requires a bachelor’s degree in computer science or a related discipline such as mathematics.

More senior positions may require a master’s or Ph.D. in AI, though some top employers no longer require a college degree. Regardless, your success will depend largely on factors outside a formal education.

Curiosity, confidence, and perseverance are good traits for any student looking to break into an emerging field, and AI is no exception, said Dan Ayoub, general manager for mixed reality education at Microsoft.

A seasoned AI professional, Ayoub agreed to talk to Best Colleges about how to land a job in the field. Unlike careers where a path has been laid over decades, AI is still in its infancy, which means you may have to form your own path and get creative.

What Ayoub means is that there is no standard artificial intelligence degree or curriculum. Some universities may not offer a prescribed set of courses for a major or specialization in AI, while those with dedicated AI programs may have unique approaches to the discipline.

Because AI is still an emerging field … universities differ in how specialized a degree you may be able to get, Ayoub said. A good place to start is computer science coursework, getting familiar with the basics of data science, machine learning, and Java … There are a number of new undergraduate and graduate programs popping up every day that are designed to prepare someone specifically to work in AI.

Qualifying for an AI job requires mastering basic and specialized artificial intelligence skills. The specific skills you need for career success depend on economic conditions and your career goals.

Although many AI career paths require a bachelor’s or master’s degree, other pathways exist. You can complete an online coding bootcamp, take individual classes leading to a certification, or learn as an apprentice. Studying independently and developing a portfolio can also help you build an impressive resume.

A coding bootcamp provides essential training in a short time. Introductory bootcamps emphasize computer science fundamentals while not covering the general education curriculum a traditional bachelor’s degree requires. Advanced bootcamps focus on specialized topics, including AI.

Some of the best artificial intelligence bootcamps feature flexibility, such as an asynchronous coursework and a fully online curriculum. Both schools and private organizations offer bootcamps, and most last 3-6 months. Choose the right bootcamp by comparing their tuition prices, curriculum, and learning outcomes.

An online class can introduce you to artificial intelligence skills at little to no cost. Many free massive open online courses (MOOCs) covering AI topics exist. Although some charge a modest fee, you can read prior students’ reviews to find the MOOC that meets your unique needs.

Look beyond MOOCs when exploring online classes. Some leading universities offer classes in AI topics, such as business applications of AI. They may even offer AI certifications.

An internship or apprenticeship can help you gain in-demand skills from highly experienced AI professionals. Many college students complete an internship over summer break. This experience may require temporary relocation and unexpected expenses.

Apprenticeships offer the same advantages as internships while also paying a salary. Apprenticeships last 2-4 years and train you in computer science fundamentals. Top employers, such as Google, offer apprenticeships in different areas, such as data analytics and software engineering.

Develop your artificial intelligence skills by working on small projects posted on online AI communities like Stack Overflow, GitHub, and Reddit. People in these communities can also help you explore AI jobs that align with your interests and career goals.

Creating a work portfolio can help you network and boost your resume. You can present it on a personal website alongside your resume and other relevant information. Research computer science professionals’ websites for inspiration.

Data scientists and machine learning engineers’ AI breakthroughs are predicted to impact nearly 40% of jobs worldwide in the coming years, according to an assessment by the International Monetary Fund. Projections like this drive the growth of high-demand AI career paths. Companies and organizations wanting to remain at the forefront of innovation offer qualified candidates impressive salaries.

Earning a college degree and creating a portfolio can increase your chances of landing a job in artificial intelligence.

Data scientists draw valuable conclusions by analyzing large datasets. Their work involves creating data-collection models. Professionals need a solid foundation of business, mathematics, and programming knowledge to succeed in this role.

Top jobs require a bachelor’s in data analytics, computer science, or mathematics. According to the Bureau of Labor Statistics, these professionals earn a median salary of $108,020. The best-paying states include Washington, California, and Virginia.

Machine learning engineers, also known as machine learning designers, make AI models more accessible and functional for end users. Typical day-to-day tasks include listening to stakeholders’ requirements and running simulations. They also identify problems and prototype solutions.

The average salary of machine learning engineers is $118,470, according to Payscale data from April 2024 . Employers offering the highest pay include Meta, Snap Inc., and Adobe. Professionals at these companies can make more than $190,000 per year.

AI researchers, also known as AI engineers, choose datasets for AI models, develop new AI projects, and train computers on the latest software. Workers spend much of their day collaborating with other engineers. They must also know how to present findings to audiences without a computer science background.

AI researchers need many skills, such as fluency in at least one programming language and an academic background in mathematics. The profession offers a median salary of $128,560, according to April 2024 Payscale data.

Algorithm engineering career paths involve developing and refining new algorithms. Typical responsibilities include testing algorithms in different AI models to find the best fit. This career appeals to professionals wanting to spend most of their day troubleshooting problems.

You need a bachelor’s in software engineering or computer science to qualify for most algorithm engineer positions. Employers may also require fluency in Java or fluency in C++. Algorithm engineers earn an average salary of $121,500 (Payscale, March 2024).

Deep learning engineers train neural networks using PyTorch and other Python libraries. Their work improves AI’s ability to recognize speech and communicate with users. Other day-to-day tasks include collaborating with software engineers and data scientists.

Most deep learning engineers hold an undergraduate or graduate degree in computer science. They make an average salary of $160,820 (Indeed, May 2024). States with the best-paying jobs include California, Washington, and New York.

Natural language processing (NLP) engineers train AI to perform tasks using users’ text or speech. Day-to-day responsibilities include creating NLP processing systems, building datasets, and experimenting with algorithms. Like other AI professionals, NLP engineers must keep up with the latest AI and machine learning advances.

You can explore some entry-level careers with only an associate degree. Skills employers look for include a strong background in statistics and programming languages. Professionals earn an average salary of $107,280 (ZipRecruiter, May 2024).

AI chatbot developers, also known as AI trainers, teach AI how to communicate with and help users effectively. They predict what questions or tasks users might request. Other responsibilities include creating new datasets, providing training data, and recognizing when an AI cannot interpret data correctly.

A bachelor’s in data analytics or data management can qualify you for many entry-level AI chatbot developer positions. The average salary for this career exceeds $93,000 (ZipRecruiter, May 2024).

Note: The insights on this page — excluding school descriptions — were reviewed by an independent third party compensated for their time by BestColleges. Page last reviewed May 14, 2024.