18 Jobs in AI (With Average Salary and Job Duties)

Over the last few years, artificial intelligence (AI) has opened up possibilities for the future. From space exploration to melanoma detection, it is making waves across industries, making impossible things possible.

As a result, there has also been a steady growth in AI careers—LinkedIn puts artificial intelligence practitioners among the ‘jobs on the rise’ in 2021. In this blog post, we explore the ten awesome and high-paying AI careers you can pursue in 2021 and beyond.

5 Career Paths in Artificial intelligence

What is artificial intelligence?

Artificial intelligence (AI) is a type of computer science that focuses on designing machines capable of performing specific tasks. AI research helps improve processes in many industries, including healthcare, production and security. For example, in healthcare, scientists may study how they can create smart machines to diagnose conditions. As AI research expands, professionals may find more opportunities programming, coding and building AI projects. These can include cars, machines, robots and software systems.

18 jobs in AI

Here are 18 jobs that may offer AI opportunities:

Primary duties: A data analyst is a technology professional who organizes and translates data for clients. Their duties can include conducting system tests, gathering data, monitoring data and creating reports based on findings. In AI, these professionals focus on data related to automation or AI processes.

Primary duties: Robotic automation technicians work to test, operate and refine automated processes in robotic machines or software. They may perform tests, evaluate computer programs, troubleshoot automation issues and design new control systems or software.

Primary duties: A manufacturing engineer works to design and improve manufacturing systems. Their duties can include analyzing current procedures, finding areas of improvement and creating new designs for manufacturing tools or systems. In AI, these professionals may focus on developing AI systems for the manufacturing industry.

Primary duties: A research and development engineer researches, tests and analyzes products and systems. Their typical duties can include conducting market research, planning research teams and designing research processes.

Primary duties: Mechanical engineers design, test and improve mechanical devices. They may analyze equipment, troubleshoot errors and supervise the mechanical manufacturing process. They might work on AI mechanics or design AI systems.

Primary duties: An electrical engineer creates, evaluates and maintains electric systems. Their duties can include overseeing the design process for electric processes, designing new electric equipment and collaborating with a production team.

Primary duties: A robotics engineer is a professional who designs new robotic products and systems. They may create prototypes or samples, build and analyze new machines and test new robotic products. They can also maintain and operate the software that controls a robotic machine.

Primary duties: A computer engineer is a professional who creates, tests and maintains computer hardware or systems. Their responsibilities may include researching hardware systems, writing and testing programming code and designing software for robots.

Primary duties: A business intelligence developer is an engineering professional who specializes in designing business intelligence programs. Their duties may include designing and testing query tools, data models and data visuals. They may use AI to simplify their processes.

Primary duties: Computer scientists use computer technology to solve challenges. Their duties can include writing programming software, researching new technology methods and creating new technology products.

Primary duties: Research scientists are professionals who gather data and information in controlled experiments. They may design lab experiments, investigations and tests in a variety of industries, including AI research.

Primary duties: A software engineer is a technology professional who designs and tests new software programs. They may create systems, maintain software and collaborate with software developers. In AI, they can work to create software programs for machine learning.

Primary duties: An algorithm developer analyzes and writes algorithms, which are procedures designed to automate a system or process in technology. Their daily duties may include researching algorithms, collaborating with a developing team and conducting performance tests to improve the algorithm.

Primary duties: Data scientists gather data and interpret the results into reports. They may work with statistical models, collaborate with clients and software teams and communicate the data results with an audience. They may use AI to simplify their data processes.

Primary duties: A big data engineer is a computer professional who specializes in raw data sets. Their duties can include analyzing raw data, translating data and evaluating data sources.

Primary duties: User experience specialists are professionals who work to improve the user experience for customers. They may create automated tests, collaborate with marketing teams and revise computer code.

Primary duties: A computer vision engineer uses software to analyze large amounts of data. They may research machine learning techniques, create automation processes and designed embedded systems.

Primary duties: A machine learning engineer is an AI professional who designs and improves machine learning systems. Their duties can include testing systems, designing AI algorithms and conducting tests. They may also train systems to perform specific actions.

FAQ

What are the careers in AI?

What AI Careers Can You Pursue?
  • Machine Learning Engineer. Machine learning engineers are at the intersection of software engineering and data science. …
  • Data Scientist. …
  • Business Intelligence Developer. …
  • Research Scientist. …
  • Big Data Engineer/Architect. …
  • Software Engineer. …
  • Software Architect. …
  • Data Analyst.

Which AI jobs are in demand?

Top 5 Jobs In AI and Key Skills Needed To Help You Land One
  • Machine Learning Engineer.
  • Robotic Scientist.
  • Data Scientist.
  • Research Scientist.

What is the highest paying AI job?

AI jobs with the highest salaries in U.S. 2019

Machine learning engineer was the best paid AI job as of then, with annual income of around 143 thousand U.S. dollars.

How do I get a job in AI?

Explore possible career paths in AI

You’ll need a bachelor’s degree for these entry-level jobs. Your next step is to earn your master’s degree in data science, computer science, software engineering, or similar. You may also want to work on gaining some certifications, building your skills, and creating your portfolio.

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