Artificial intelligence (AI) is really taking the world by storm. In 2022, the global size of this market was valued at over $450 billion. By 2032, this market is predicted to cross the point of $2,500 billion, growing at a whopping 19% compound annual growth rate (CAGR).
Now, AI is already a huge thing in the landscape of technology. And it’s rapidly changing different spheres of our lives. As it evolves, it integrates into the educational, IT, healthcare, manufacturing, and many other industries.
With all that being said, we can confidently state that AI is the future. So, if you are currently a student who wants to build a brilliant, future-proof career after college, AI is one of the best industries to break into.
In the guide below, we will tell you about the top AI careers that are trending now and how to land them. Read on to find the perfect career path for you!
Top Trending Artificial Intelligence Jobs for Students
With the evolution of artificial intelligence, more and more industries are in demand for top-level AI specialists. There is a large variety of career paths in this area to match every student’s interests, needs, and skills.
Let’s check out the top six jobs in AI that you should consider today.
- Artificial Intelligence (AI) Engineer
Average salary: $141,765
An AI engineer creates custom solutions (systems, software, tools, etc.). They do this using AI and machine learning technologies. These solutions are aimed at helping organizations:
- Boost their productivity;
- Increase operations’ efficiency;
- Cut costs;
- Enhance profits;
- And make smarter, more data-driven business decisions.
Some of the key responsibilities in this job include:
- Conducting statistical analysis to optimize the organization’s decision-making process;
- Creating and managing the production of AI solutions;
- Automating artificial intelligence infrastructures;
- Helping organizations adopt and implement machine learning and AI technologies for better efficiency, etc.
- Machine Learning Engineer
Average salary: $160,461
Professionals in this role are tasked with:
- Researching;
- Building;
- Designing;
- And implementing artificial intelligence solutions responsible for machine learning.
Also, these professionals are responsible for maintaining and enhancing existing AI systems. These specialists play a crucial role in data science teams. Together with the rest of the team, these engineers run research, experiments, tests, and statistical analyses to help organizations adopt and implement business-fueling machine learning systems.
Machine learning engineering is one of the most sought-after careers in artificial intelligence. It can be incredibly well-paying and fulfilling, which makes it a wise choice for current students.
- Data Engineer
Average salary: $118,008
A data engineer is a professional who deals with data. Specialists in this role are tasked with building effective solutions aimed at:
- Collecting;
- Validating;
- Preparing;
- And organizing high-quality data.
The core goal of this job is to empower data scientists, business analysts, and other data specialists with accurate and valid interpretations of raw data. Eventually, the data collected and processed with the help of data engineers is used to help organizations evaluate and optimize their performance.
The biggest perk of this role is that it has broad applications across all industries and niches. That’s why data engineers are very thought-after by employers.
- Robotics Engineer
Average salary: $108,831
A robotics engineer is a professional who deals with robotic solutions. These specialists help organizations create and implement such solutions.
The systems developed by these professionals have applications across nearly all industries, such as manufacturing, automotive, medicine, defense, and many others. These systems can perform both human and nonhuman duties to help organizations reduce the workload and automate different operations. The core duties of a robotics engineer typically include:
- Designing new systems;
- Assembling prototypes for testing;
- Working on-site to oversee the production of robots;
- Monitoring the systems’ performance, etc.
There are several different areas that these professionals can specialize in, including programming, operator interface, etc.
- Software Engineer
Average salary: $140,134
A software engineer is also known as a software developer. It is a professional responsible for creating software and applications for computers and mobile devices.
People in this role must possess excellent knowledge of various programming languages, platforms, and architectures. Also, they must know engineering principles. They can develop games, operating systems, middleware, business applications, and many other types of software, which makes this a very versatile artificial intelligence career applicable to nearly all industries.
Apart from software development, this role includes such responsibilities as:
- Testing and improving new solutions;
- Maintaining existing software;
- Helping organizations integrate new solutions into existing systems, etc.
- Data Scientist
Average salary: $144,186
A data scientist is another professional on our list who works with data. People in this role help organizations determine what questions they should be asking to:
- Improve their performance;
- Cut costs;
- Forecast the outcomes of their operations.
Also, these specialists help organizations answer these questions with the help of data. Often, data scientists are tasked with the development of predictive models. Organizations can use them to theorize and forecast different outcomes and patterns. They rely on machine learning and artificial intelligence techniques to collect, analyze, interpret, and improve the quality of data for business success.
How to Land Artificial Intelligence Jobs
Most AI jobs require a minimum of a BA degree. Sometimes, entry-level roles can be landed with an associate degree or with no degree at all. However, that’s rather an exception to the rule. So, if you are aiming for a job in this sector, you will want to earn an undergraduate degree in computer science, mathematics, or another related field.
A conventional degree is not all you need. Completing different courses and certifications can also give you a competitive advantage. They can help you acquire the necessary technical skills and experience. Also, certifications demonstrate to potential employers that you are goal-oriented and willing to develop professionally.
Some of the most common certifications to consider are:
- MIT: Artificial Intelligence: Implications for Business Strategy;
- Certified Artificial Intelligence Engineer;
- Certified Artificial Intelligence Consultant;
- USAII: United States Artificial Intelligence Institute;
- Certified Artificial Intelligence Scientist;
- ARTIBA: Artificial Intelligence Engineer.
Once you have the necessary education and certifications, you can start your job research. Start with entry-level or junior roles that require minimum prior experience.
Also, consider applying for internships. Working as a freelance professional or developing your own projects is also good. This way, you can gain some hands-on practice and hone your skills. Respectively, these tips can help you increase your chances of landing your first job.
Your Next Steps for Building Brilliant Careers in AI
If you are aiming for a career in the artificial intelligence industry, you should start with your education.
Aren’t studying a relevant major currently? That’s not a problem. You can consider shifting to a different program or acquiring an additional degree online. There are many great degree programs and courses on platforms like Coursera, EdX, and others. Also, there are many strong AI-related degrees in colleges and universities across the US and around the world.
If you are not ready to get a degree yet, there is another path. You can get started with the IBM Applied AI or AI Engineering Professional Certificate. It will help you learn the basics and gain the needed skills. And you can get this in minimum time. It’s a good way to get job-ready as quickly as possible.
Finally, gaining hands-on experience is another crucial step. As was mentioned earlier, working on different projects is also a great way to prepare for your future career. With advanced tools like paper typer ai, students can effectively tackle complex AI-related topics and craft insightful papers demonstrating their understanding and expertise.
Conclusion
Artificial intelligence is one of the most quickly growing and promising industries today. This technology is evolving at a rapid pace, changing the game for millions of businesses across all sectors. And it’s predicted to keep evolving further, which makes it one of the best career choices for students who want to have a future-proof job.
If you are a tech-savvy critical thinker who loves technology and challenges, a job in the AI industry could be your best bet. There are many roles that will suit people with different mindsets, skills, and interests. So, everyone should be able to choose something that suits them perfectly.
After reading this article, you know about the most sought-after AI jobs with their key responsibilities and average salaries. You also know how to get into artificial intelligence without a hassle. Use this knowledge to get on the right track to your future career right now!
.webp)
.webp)
%20(1).webp)