Artificial intelligence (AI) is now present in our daily lives and activities more than ever. Millions of people are using virtual assistants, facial recognition software, and driverless cars. These are all evidence of the growth of technology and its impact on our lives. Most importantly, it shows that there are numerous career opportunities available in the field.
In this article, you will learn all about the types of jobs you can do with AI skills and the top jobs that use artificial intelligence. We will also guide you in pursuing a career by sharing steps to help your career journey. You’ll find answers to questions like, “What is artificial intelligence?” and “Is artificial intelligence in high demand?” Read on for more information.
What Is Artificial Intelligence?
Artificial intelligence is a branch of information technology concerned with designing and building machines that can function like humans and perform tasks that would typically require human abilities. There are four different types of AI that are commonly utilized. These types are reactive, limited memory, theory of mind, and self-aware AI.
Speech recognition, facial recognition, driverless cars, virtual assistants, chatbots, and autocomplete are all examples of AI. You’ll find these examples on your mobile device, tablet, and computer, and in your automobile. Virtual assistants such as Siri and Alexa both use artificial intelligence.
Is Artificial Intelligence in High Demand?
Artificial intelligence is in high demand in many industries because there are tons of wayss AI tools can be applied to complete tasks more quickly. This huge demand is expected to continue to increase as Statista reports that in 2020, demand for machine learning skills was 82 percent.
The Bureau of Labor Statistics also expects huge growth in the field, anticipating that job openings in AI will increase by 22 percent between 2020 and 2030. This is much faster than the average for all other occupations, which stands at about 7.7 percent.
Types of Artificial Intelligence Jobs
Artificial intelligence has become highly important today because of its possible applications needed in many fields. This makes it easy for people with AI skills to secure a well-paid job and go on to have a rewarding career. Below are some of the jobs that you can do if you take the time to learn artificial intelligence.
Data Analytics Jobs
Data analytics jobs involve working with data to find patterns and trends and using the information gained to make decisions. Data is a huge part of AI, machine learning, and deep learning, which is a more detailed type of machine learning that’s based on artificial neural networks. Professionals on this career path will increasingly work with AI as technology advances.
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Software Engineering Jobs
Software engineers play an important role in AI because they design the programs and tools that AI software runs on. Software engineers use programming languages to design the tools and also use them to speed up their own software development projects. Anyone looking to get a software engineering job that also involves AI will have a lot to choose from.
User Experience Jobs
One of the areas where AI is most present is in user experience (UX). Websites and applications use chatbots that run on AI to improve their customer experience and satisfaction, making AI a very useful skill in the field. As a UX designer, AI skills aren’t required, but they will help you stand out and increase your chances of landing a job.
Business Intelligence Jobs
Professionals in business intelligence use software tools to help them form business strategies and ensure growth. They work with data analytics and new technology such as AI to better analyze market trends. Using AI helps them gather and review data so that they can formulate the most useful insights possible for their client.
Natural Language Processing Jobs
Natural language processing (NLP) is a subsector of artificial intelligence that involves the way humans and machines communicate. Because of NLP, advanced technology like chatbots, virtual assistants, and predictive texting function better with each use. You can learn natural language processing then use it along with your AI skills to create these types of tools.
How to Establish a Career in Artificial Intelligence
Starting a career in artificial intelligence isn’t difficult as long as you’re ready to put in the work and time necessary. Below are five helpful steps to guide you in your AI career journey.
- Prepare yourself. Although starting a career in AI isn’t isn’t very hard, you will need training in order to get started. This might include picking up programming skills, improving your communication skills, and getting familiar with artificial intelligence tools. This is why you have to prepare yourself to learn a lot of information and not become discouraged. This step will help you prepare for and overcome any challenge you face.
- Enroll in a program or school. Next, you have to learn more about the field by getting a formal education. But you don’t have to go through an advanced degree program, especially if you are transitioning from another career. You can join an artificial intelligence bootcamp or attend a community college to get the knowledge you need.
- Develop your skills. While you’ll learn AI skills in your chosen educational path, you will also need to pick up additional skills to excel in this field. Focus on the skills you’ll need for your area of expertise, whether it’s creating artificial intelligence programs, or studying the possible applications of machine learning.
- Get experience. Getting experience in this career field might initially seem hard because most job postings will require that you already have experience before you apply. However, it’s possible if you use your network to enroll in an internship program or get an apprenticeship so you can get some hands-on experience.
- Earn certifications. In technology, certifications are often just as important as education and experience. To boost your chances of having a fulfilling career in AI, you should earn relevant industry certifications. This will increase your chances of getting a job.
The 15 Best Jobs That Use Artificial Intelligence
Working in AI requires a major dedication and it’s also a big time commitment. That’s one reason why professionals in the field earn impressive salaries. The continuous growth of technology means occupations in the IT industry generally have a positive employment outlook. Below is a list of the top 15 jobs in AI along with their average salaries and job outlooks.
|Job Title||Average Salary||Job Outlook|
|Machine Learning Engineer||$112,289||22%*|
|AI Data Scientist||$111,860||22%*|
|Senior Data Scientist||$127, 605||22%*|
|Big Data Engineer||$89,838||33%***|
|Data Mining Analyst||$84,187||22%*|
|Business Intelligence Developer||$81,872||25%|
*Job outlook has been sourced from the Bureau of Labor Statistics listing for computer and information research scientists.
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**Job outlook has been sourced from the Bureau of Labor Statistics listing for software developers, quality assurance analysts, and testers.
***Job outlook has been sourced from the Bureau of Labor Statistics listing for mathematicians and statisticians.
What Careers Use Artificial Intelligence? An In-Depth List
Artificial intelligence engineers design, develop, train, and maintain complex networks of AI algorithms so that they function like the human brain. To work as an AI engineer requires considerable IT skills, including software development abilities, data science knowledge, and data engineering skills. This is the most common role for people with AI skills.
Research scientists collect, interpret, and analyze data to answer questions and reach conclusions on scientific investigations, experiments, and trials. Their work isn’t limited to natural sciences. It extends into medical science, computer science, social science, and environmental science. AI helps these professionals perform complex tasks, making their work both faster and more detailed.
Software architects design, develop, and integrate features of a software application. Unlike software developers, they spend less time writing code and more time working on application design choices and features. AI is also used to make their work faster, cheaper, and more precise. If you’re interested in learning software architecture, now is a great time to do so.
Machine Learning Engineer
Machine learning engineers are in charge of developing and designing the AI algorithms used in machine learning. They help create virtual assistants, self-driving cars, chatbots, recommended searches, autocomplete, and translation apps. The models they design solve problems and make life easier.
AI Data Scientist
An AI data scientist uses machine learning techniques to collect and interpret data to make sound business decisions. They use machine learning tools to get the work done faster and with fewer errors. They also fix code errors and other data problems.
Software developers write codes to create software applications for mobile devices, desktops, and websites. They also install, test, maintain, and troubleshoot these applications when necessary. AI makes the job of a software developer easier by fixing errors before they become major issues and enhancing the effectiveness of the application.
Project managers make sure that products are launched in a timely manner. They oversee the process of creating products and ordering parts, which adds up to a lot of repetitive tasks. AI can help project managers complete their mundane tasks so they can focus on more complex problems that need human attention.
Senior Data Scientist
Senior Data scientists are experts at gathering and analyzing data to interpret and make decisions that will help boost business growth and profitability. The information they get from the data can be used to build business models to increase productivity and consumer satisfaction. Senior data scientists can use AI to automate their work for faster and more reliable outcomes.
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Data engineers collect and sort large amounts of data from multiple sources. They must make sure that the data is reliable and of high quality. Then, they combine the data and transfer it to a machine-readable format. Like other data jobs, AI helps data engineers to create higher-quality and more reliable data through automation.
Big Data Engineer
Big data engineers are very similar to data engineers, except that they deal with far larger amounts of information. They must find ways to sort and maintain information, often for huge companies, using big data solutions. With AI, big data engineers can complete their tasks more rapidly while still making sure that the results they compile are accurate and useful.
Software engineers apply the principles of engineering to software development. They write code and design, develop, install, and maintain software applications that meet users’ needs. They use AI tools to speed up the development process, improve team collaboration, and save time and resources.
A robotics engineer is an expert in designing, building, and testing robots and robotics systems. They also must maintain the software that controls them. To do this, they must first carry out the research necessary to start the design and building process. Robotics engineers use AI tools to create machines with increasingly impressive functions.
Data Mining Specialist
These professionals use data analytics programs to find information in data, decide the value of the information, and decide how it can be used to benefit an organization. They are experts who understand data and apply the results gleaned from their data mining to make well-informed decisions. Data mining specialists use AI to collect data, store information, and gain actionable insights.
Business Intelligence Developer
Business intelligence developers are in charge of designing, developing, and maintaining business solutions. They use data analytics and technology to help businesses make strategic decisions. AI can help these experts generate more precise, reliable, and high-quality data that they will then use for analysis.
User Experience Designer
User experience designers create appealing and satisfying user experience features for websites and apps. They ensure that the users can access the information easily and quickly while also getting maximum satisfaction from the website. They conduct research to check for industry trends and create features for the website or application accordingly.
Should You Get a Job in Artificial Intelligence?
You should get a job in artificial intelligence because it is a growing field that promises a fulfilling career for those who are interested. The world is adapting to technology, which is leading to increased use of artificial intelligence and higher demand for those who understand it. If you’ve taken some of the best online artificial intelligence courses and you’re still intrigued by the field, you should keep going.
There are multiple areas of specialization that you can focus on if you don’t want to simply become an AI engineer. For example, you could work as a machine learning engineer, robotics engineer, or computer vision engineer. And if you’re already a tech expert, you can continue to work in your field while using your AI skills to make you an even more valuable asset.
Jobs That Use Artificial Intelligence FAQ
Some of the jobs in artificial intelligence are AI engineer, robotics engineer, machine learning engineer, computer vision engineer, data engineer, data scientist, and software engineer.
The best jobs in artificial intelligence are AI engineer, robotics engineer, data engineer, machine learning engineer, data scientist, and big data engineer.
The top five careers in the world today are as a doctor who performs AI-assisted surgeries, information security analyst, nurse, software developer, and accountant.
AI jobs pay really well. The highest paying AI job is artificial intelligence engineers, who make an annual average wage of $164,769 according to PayScale. The lowest-paid position is a user experience designer, who has an average yearly salary of $77,200.
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