These days, many individuals discuss how artificial intelligence (AI) may impact the job market by creating new positions or eliminating old ones. It’s also worth noting that AI will bring in a lot of new and interesting job opportunities. A job in AI is an option for those who are studying technical subjects in college, such as computer science.
In this post, we’ll go through the top 10 demanding AI careers in 2023 that you can pursue as a career. We’ll also provide you with details on what each AI job entails, what talents are necessary, what education level is preferred, and how much money you can expect to make. So, read on!
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Artificial intelligence, or AI, is a subfield of computer science linked to developing robots and software that can reason, learn, make decisions, understand, etc. in the same way that a human would. We can use AI to improve medical diagnosis, traffic flow, product recommendations, music creation, language translation, and many other areas. Moreover, AI can pave the way for us to investigate unknown frontiers in the fields of space travel, quantum computing, and brain-computer interfacing, among others.
List of Top Demanding AI Careers in 2023
LinkedIn reports a 32% rise in AI-related job postings since the beginning of this year. However, not every AI-related career is the same. There is a wide range of AI jobs out there, each of which calls for a unique set of abilities, backgrounds, and education. Let’s discover the top 10 AI jobs of 2023, each promising high wages and a promising future.
1. Machine Learning Engineers
An engineer specializing in machine learning develops systems capable of analyzing and making decisions from massive datasets. Most machine learning positions will require engineers to do a variety of things, including designing, building, developing, and implementing machine learning models.
They work closely with the software and data science engineers when developing complex algorithms and systems. The average yearly pay for these engineers in the United States is $ 110,000.
2. Data Scientists
Data scientists, also known as big data engineers, are experts in the field of data science; they use statistical and machine learning methods to analyze massive datasets, gain knowledge through observations, and develop insights using these algorithms. They work closely with company leaders to analyze data for patterns, and then use that information to make smart decisions. The average yearly pay for these scientists in the United States is $65,000.
3. AI Engineers
AI engineers are required to make AI systems. AI developers are responsible for creating AI-based models and algorithms, doing data preparation and cleaning, working with data scientists and software engineers, and keeping up with AI developments. Technical expertise, a background in math and statistics, and programming skills are all necessary for a career as an AI engineer. The average yearly pay for these engineers in the United States is $160,000.
4. Robotics Engineers
Robotic engineers are responsible for the creation, development, and testing of automated systems. They work together with other scientists and engineers to design systems that can do everything from making and constructing things to doing surgery and searching for missing people. The average yearly pay for these engineers in the United States is $130,000.
5. Natural Language Processing (NLP) Engineers
Engineers in the field of natural language processing (NLP) use voice recognition and other platforms and specialized tools. NLP engineers are trained to take unstructured voice and text and convert it into a form that a machine can understand. To develop systems that can understand human speech and text and respond appropriately, they work closely with other engineers. The average yearly pay for these engineers in the United States is $86,000.
6. Computer Vision Engineers
Computer vision engineers use hybrid vision techniques driven by artificial intelligence to help computers understand and make sense of visual input. They work together with other engineers to develop systems that can recognize and label visual data such as images, videos, and the like. High salaries are offered for computer vision engineers. The average yearly pay for these engineers in the United States is $168,000.
7. Business Development Managers
Managers in this AI field can expect to earn among the top salaries in 2023. These professionals are responsible for identifying new revenue streams and developing strategies to grow their companies. They work together with other managers and executives to discover new markets and build partnerships. The average yearly pay for these managers in the United States is $196,000.
8. AI Product Managers
Due to the high level of responsibility involved in the role of AI Product Manager, salaries in this field continue to rise. They work closely with engineers and data scientists to identify gaps in the market and plan how to best fill them with innovative AI solutions. Using machine learning, they can pinpoint the specific areas that need work in an existing product. The average yearly pay for these managers in the United States is $128,000.
9. AI Research Scientists
Experts in AI research use machine learning and other AI techniques to conduct studies and develop new AI technology. They work collaboratively with other researchers and developers to further expand the potential of AI. The average yearly pay for these scientists in the United States is $99,000.
10. AI Consultants
An AI consultant offers advice to organizations on how they can best integrate AI into their operations to boost productivity, save expenses, and generate more income. They work together with engineers and other consultants to help people recognize AI’s potential and develop strategies to put those opportunities to use. The average yearly pay for these consultants in the United States is $124,000.
Careers in AI look promising, as seen by the above descriptions of several AI-related jobs. Companies in nearly every sector are developing AI-based products right now. As a result, working in the field of AI appears to be less of a choice and more of a need. So, explore many artificial intelligence training programs to find the one that best suits your needs and goals.