AI jobs

7 Best AI Jobs to Pursue in the Age of AI

As AI technology advances, the job market is changing rapidly, and it’s essential to consider the impact on your chosen career path. New AI jobs emerge as technology advances. Many traditional jobs are now undergoing automation and machines are carrying out various tasks and operations more than ever. AI is one of the defining technology trends of this decade.

In fact, over 30 percent of workers are expecting their jobs to be automated in a few years due to AI. But the good thing is that new careers that require a unique set of skills and expertise are also emerging.

In this article, we’re going to uncover some of the best careers in AI for you to pursue. These careers are not only in high demand, but also offer the potential for growth and stability in our constantly evolving job market.

Whether you’re looking to start your career or want make a transition, it’s only wise to choose a path that aligns with your passions and gives you a sense of purpose. And now, let’s dive into it and explore some exciting career options that are relevant in today’s ever-changing world.

The Top AI Jobs

The AI-related career you choose to pursue will depend on your interests, skills, and experiences. Below are the top ones.

1. Data Science

Data Science

Average Salary: $130,000

Data science is a field that has attracted ernomous attention in recent years due to the rise of technology and artificial intelligence. It involves collecting and analyzing large sets of data to gain insights and make informed decisions. In the age of AI, the demand for data scientists has increased dramatically as companies seek to leverage machine learning and other AI technologies to enhance their operations.

As a data scientist, you’ll be responsible for developing algorithms and models to extract insights from large data sets. You’ll also need to be able to communicate your findings to other team members and stakeholders in an easy-to-understand manner. Having a strong background in mathematics and computer science, as well as experience working with data analysis tools and programming languages puts you at an advantage.

One of the exciting aspects of working as a data scientist is the opportunity to work with cutting-edge technology and contribute to the development of new AI applications. As brands continue to invest in AI, the demand for data scientists is only expected to go up. If you have a passion for working with data and are interested in pursuing a career in the field of AI, data science may be the perfect choice for you.

2. Machine Learning Engineering

Average Salary: 152,000

Machine learning engineering is another interesting career path in the age of AI. What machine learning engineers do is design, develop, and implement machine learning models and algorithms that can automate and improve numerous business processes. This involves working with large data sets, designing and tuning algorithms, and deploying models in real-world applications.

For you to become a machine learning engineer, a strong foundation in computer science and mathematics comes in handy, along with experience with programming languages like Python and R. You’ll also have to be familiar with machine learning frameworks and tools, such as TensorFlow and scikit-learn.

Among the key challenges in machine learning engineering is making sure that models are accurate, reliable, and scalable. This requires a combination of technical skills and an understanding of the business problems that the models are intended to solve. As a machine learning engineer, you’ll work closely with data scientists, software developers, and other stakeholders to design and deploy machine learning models that can drive business value.

3. AI Ethicist

Average Salary: $122,000

While AI can help in many ways, some people can misuse it and this brings up the topic of possible risks of the technology. An AI ethicist is responsible for ensuring that AI systems are designed and used in a way that is ethical and aligns with human values. This career choice deals with understanding the potential implications of AI on society and working to develop policies and guidelines that promote ethical and responsible use of these technologies.

You’ll require a strong background in philosophy, ethics, and public policy to work as an AI ethicist. Being familiar with the technical aspects of AI and machine learning is what will help you understand how these technologies can be used and potentially misused. As an AI ethicist, you’ll work with organizations to identify potential ethical issues and develop guidelines for how AI systems should be designed and used.

When it comes to the challenges, one that stands out in this field is balancing the benefits of AI with potential risks and ethical concerns. For example, AI systems may be used to automate tasks and improve efficiency, but they may also be used to make decisions that have a significant impact on people’s lives, such as decisions about hiring, lending, and healthcare. These are just but a few complex issues you’ll have to be able to navigate and work collaboratively with others to find decent solutions.

4. Robotics Engineering

Robotics Engineeering

Average Salary: $100,000

Robotics engineering is an exciting and dynamic field that is closely related to AI. Robotics engineers design, build, and maintain robots and robotic systems that are used in a variety of industries, from manufacturing and healthcare to space exploration and military applications. As an AI career, robotics engineering is particularly interesting because it requires a strong understanding of both software and hardware systems.

Robotics engineers must be able to design and implement algorithms for controlling robotic systems. The work also involves developing the physical components that make up the robot itself.

In addition to technical skills, robotics engineers must also possess strong problem-solving abilities and the ability to work collaboratively as part of a team. This is because the development of a robotic system typically involves many different disciplines, including mechanical engineering, electrical engineering, and computer science. Some of the key tasks that a robotics engineer might be responsible for include designing the overall architecture of a robotic system, selecting and integrating sensors and actuators, developing control algorithms, and testing and debugging the system.

5. UX Design

Average Salary: $98,000

As AI technology continues to advance, the need for more UX designers is becoming evident. UX (user experience) designers are responsible for creating user-centered designs for digital products such as websites, apps, and other interactive interfaces. They work closely with developers and other stakeholders to ensure that the product is intuitive, efficient, and enjoyable to use. In the context of AI, UX designers are particularly important because AI often involves complex algorithms and data sets that can be difficult for the average user to understand.

A good UX designer can help bridge this gap by designing interfaces that are both visually appealing and easy to navigate, even when dealing with complex AI systems. If you want to pursue UX design, you requuire a basic understanding of how AI works, including the algorithms and data structures that underpin it. This knowledge will help in designing interfaces that effectively communicate the functionality of the AI system to the user. Yo’ll also need to be able to do proper user research to know the pain points and create prototypes of your designs to test their usability.

6. Software Development

Software development

Average Salary: $112,000

There’s also a need for software developers in this age of AI. Software developers are responsible for designing, creating, and maintaining software programs and systems, including those that use AI technology.

There are a few options related to software development to choose from that involve AI:

  • AI software developer:This role could involve designing and implementing algorithms for natural language processing, computer vision, and other AI applications.
  • AI systems developer: The role is all about developing and integrating AI systems into existing software infrastructure. This includes designing and implementing APIs and other interfaces that allow software systems to interact with AI models and algorithms.
  • AI platform developer: In this case, the work is to develop platforms that enable other developers to build AI applications. It may involve developing tools and frameworks for building and deploying AI models and providing support and documentation for other developers.

A strong foundation in programming languages such as Python, Java, and C++ is essential for developing AI software and systems. You’ll also need a solid understanding of mathematics and statistics is so as to effectively design and implement AI algorithms and models. . Knowledge of machine learning techniques such as neural networks, decision trees, and regression analysis comes in handy too.

7. Digital Marketing Specialist

Average Salary: $60,000

We’ve already seen how AI is revolutionizing digital marketing through numerous AI marketing tools. While most AI tools for marketing tools are easy to work with, there’s still a need for a human specialist that can identify trends and insights, allocate marketing investments, and direct the ad campaigns.

And so, digital marketing specialists can use AI technology to optimize and personalize marketing campaigns, improving the efficiency and effectiveness of their efforts. For example, AI-powered chatbots can be used to engage with customers and provide personalized recommendations, while machine learning algorithms can be used to analyze customer data and identify trends and patterns that can be used to inform marketing strategies.

To succeed in this role in the AI age, you need to a basic understanding of AI technology and also be up-to-date with the latest AI tools for marketing. A digital marketing specialist also needs a proper marketing strategy and be able to develop campaigns that align with business goals.

AI Careers FAQs

Below are the frequently asked question regarding careers in AI.

How Can I Start a Career in AI?

Starting a career in AI can be a challenging and rewarding experience. Here are some steps you can take to begin a career in AI:

  1. Learn AI concepts and techniques: You should start by learning the basic concepts and techniques of AI, including machine learning, natural language processing, computer vision, and robotics. There are many online courses and tutorials available that can help you get started right away.
  2. Build a portfolio of projects: To demonstrate your skills and experience in AI, it’s best to establish a portfolio of projects that showcase your expertise. Some practical examples are building AI-powered applications, participating in hackathons and coding competitions, and contributing to open-source AI projects.
  3. Pursue formal education: Pursuing formal education in AI, such as a degree in computer science, data science, or AI, can help you gain a deeper understanding of the subject matter and prepare you for a career in this area.
  4. Participate in AI communities and networks: Participating in AI communities is essential for staying up-to-date with the latest developments in the field, connecting with other professionals, and finding job opportunities. Be sure to also attend virtual or physical AI-related events and use a digital business card to instantly share your contacts with potential employers, partners and investors.
  5. Apply for internships and entry-level positions: Applying for internships and entry-level positions in AI can help you gain practical experience and develop your skills in a professional setting. These opportunities can also provide a pathway to a full-time job in the field.

Starting a career in AI requires dedication, hard work, and a willingness to continue learning and adapting to new technologies and techniques. However, with the right skills and experience, a career in AI can offer exciting opportunities to work on cutting-edge technology and make a real impact in the world.

Do You Need a Degree to Work in AI?

While having a degree in a relevant field such as computer science, data science, or AI can be helpful, it is not always necessary to work in AI. Many professionals in the AI field have started their careers with a degree in a different field or without any formal degree at all.

What matters more is having the right skills and experience in AI. This includes a strong foundation in programming and computer science, an understanding of AI concepts and techniques, and practical experience building AI applications. 

There are many ways to gain the skills and experience needed to work in AI, including online courses and tutorials, bootcamps, and self-study. Building a portfolio of AI projects and participating in hackathons and coding competitions can also help you gain practical experience and demonstrate your skills to potential employers.

What Formal Education Do You Require for an AI Career?

There are several degrees that can be helpful for starting a career in AI:

  1. Computer Science: A degree in computer science can give you a solid knowledge of programming, algorithms, and software engineering, which are essential for working in AI.
  2. Data Science: A data science degree can provide you with a strong understanding of statistical analysis, machine learning, and data visualization, which are important skills for working with AI systems.
  3. Artificial Intelligence: Many universities now offer degrees in artificial intelligence, which focus specifically on the theory and practical applications of AI.
  4. Mathematics and Statistics: A degree in mathematics or statistics can serve you with a strong foundation in mathematical theory and statistical analysis, which are crucial skills for working with AI algorithms.
  5. Engineering: An engineering degree, specifically in fields such as electrical, mechanical, or robotics engineering, can help you grasp great knowledge about the hardware and systems that are used in AI.

It’s essential to note that while a degree can be helpful, it isn’t always a must-have to pursue an AI-related career. What puts you at an advantage if you don’t have an applicable degree is having proper expertise. This can be gained through formal education like short courses, online courses and tutorials, self-study, and practical experience.

How can I use AI?

AI is making its way into many applications. Whether marketing, copywriting, presentation creation, image generation, business organization and much more. There are hundreds of AI applications. Many AI Software solutions are compiled in this overview. Nowadays everyone can use AI in software and profit from it.


To conlude, AI is now a rapidly growing part of us that comes with many interesting and well-paying career opportunities. As AI technology continues to advance, there is a growing demand for professionals with skills and experience in areas such as machine learning, natural language processing, robotics, and digital marketing.

You can either teach yourself and gain the required skills to work in this competent field of work. Better yet, get certified by taking relevant courses online or in-person.

Remember, a relevant degree is a great advantage. But you can still find remote as well as in-house work opportunities if you’re determined to reach the required level of expertise and have the needed job-hunting skills. Attend events and network with other industry experts for a chance to get hired or partner with others on AI projects.

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About the Author

Mike Stuzzi is an online entrepreneur who blogs at He publishes helpful guides on starting online businesses, the best business tools to use, and his personal experiences on the site.

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