15 Jobs Created By the AI Boom

People worldwide are worried that Artificial Intelligence (AI) will take their jobs over the next decade. However, it’s not all doom and gloom.

AI may help automate some manual jobs but will continue to create new roles for people open to AI retraining or expanding on existing skills.

This article explores 15 jobs created by the exponential growth of AI.

1. Robotics Engineer

Robotic engineers are specialists who can create new robotic products and systems. They may study, manage, maintain, develop, and prototype new robotics.

The role best suits individuals who embrace AI technology and enjoy working in a fast-paced, scientific environment.

2. Algorithm Developer

Algorithm developers develop and test algorithms for automating processes or systems. They typically work closely with a research and development team and need soft and exceptional technical skills.

Algorithm developers may work in application development, image and signal processing, and web engineering industries.

3. Computer Engineer

Computer engineers design, test, and maintain electrical and computer software and hardware systems, such as networks, printers, keyboards, computer chips, and circuit boards.

These highly skilled engineers have exceptional knowledge of the computer industry and AI.

4. Data Analyst

Data analysts collect and analyze data, spotting trends to help businesses make productive decisions. They’re solution-focused individuals with good technical skills. A typical day includes statistical studies and producing graphs and charts. They also have the interpersonal skills to analyze and explain the data so organizations can understand and implement solutions to complex issues.

Data analysts work closely with a multidisciplinary team and must be excellent team players.

5. Research And Development Engineer

In AI, research and development (R&D) are crucial to a project’s success. R&D engineers use principles, models, and research theories to conduct tasks and experiments.

Their role is strengthening an organization’s market positioning and providing innovative solutions for enhancing existing technologies.

6. Research Scientist

A research scientist’s role best suits individuals who enjoy everything associated with science and have a “what if?” research approach and a thirst for learning.

A research scientist collects information and data with controlled experiments and creates lab tests and studies in numerous fields, such as AI research.

7. User Experience Researcher

User experience researchers (UX Researchers) analyze consumer data to assess how to improve the user experience, whether front-end or back-end data.

UX researchers work with a design team and stakeholders to continually evaluate and enhance the user experience. They can work with any company with an online presence, but typically, they work with technology companies like SaaS (software as a service) organizations.

8. Mechanical Engineer

Mechanical engineers’ work involves designing, creating, testing, and improving mechanical devices (anything with moving parts) and AI mechanisms and systems. They may inspect tools, fix issues, and supervise the production of mechanical goods.

Mechanical engineers analyze their work using physics concepts to ensure that designs function safely, flawlessly, and efficiently.

9. Manufacturing Engineer

Manufacturing engineers develop and improve production processes. They inspect existing practices, identify areas for potential improvement, and create new systems, tools, or concepts to streamline an organization’s manufacturing processes.

These specialist engineers focus on building AI manufacturing solutions.

10. Computer Vision Engineer

Computer vision engineers must understand algorithms and algebra because they analyze large volumes of data to provide real-world solutions.

They research machine learning approaches to automate and streamline workflows. They may also build embedded systems.

11. Electrical Engineer

An electrical engineer assesses, tests, maintains, and designs electrical systems, ensuring they are safe and trustworthy. This may include designing electrical apparatus, circuits, and networks.

Their responsibilities may include overseeing the entire electrical process as part of a production team.

12. Software Engineer

Software engineers are technological experts who create and test software applications. They may work alongside software developers and engineers to develop, implement, test, and maintain software systems.

Multiple industry opportunities exist for software engineers who understand and can build software programs and systems for independent machine learning.

13. Data Scientist

Data scientists combine datasets to analyze unprocessed data for beneficial insights. Their work can help an organization leverage the insights to streamline processes and systems and improve market and industry positioning.

Data scientists may spot evolving trends across key demographics. These scientists must have soft skills because they may need to explain the core insights to stockholders.

14. Computer Scientist

Computer scientists are proficient in multiple programming languages, such as Python, C, C++, PHP, Java, JavaScript, and Ruby. They aim to resolve computer-related issues and create new products using technological advancements, like AI.

They also have the written skills to produce research papers and present their findings to organizations, stockholders, and the technical community.

15. Machine Learning Engineer

Machine learning engineers are AI specialists who research, design, and improve machine learning systems and work alongside a data science team.

They may create AI algorithms, conduct experiments, and evaluate existing and new systems. They build or improve systems to automate specific tasks that can improve performance with machine learning.

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