High-paying AI careers to take off in 2023

Artificial Intelligence (AI) is a popular buzzword these days, even though it has been around for a few decades.

Be it the growing importance of ChatGPAT, generic AI in transforming enterprises, or news about the detrimental impact of AI replacing manual labour, the vast potential offered by AI is still untapped.

AI will play a decisive role in transforming and innovating the way sectors and businesses operate. AI is developing rapidly, creating many new job opportunities and also changing many existing opportunities.

Therefore, if you want to embark on a successful journey as a top AI professional, it is important that you learn more about the industries and job roles that AI has revolutionized, as well as acquire the necessary skills. Which will help you achieve mastery. specific domain.

Earning a Masters in Artificial Intelligence can help you gain the essential skills, advanced knowledge, and practical proficiency needed to apply for AI positions in a variety of industries.

In this article, we have compiled a list of the best and highest paying AI careers that you can pursue to get your ideal AI role.

Top High-Paying AI Jobs of 2023

1. AI Product Manager

An AI product manager uses artificial intelligence and other related areas of AI, such as machine learning or deep learning, to design, enhance, and improve AI products and solutions that provide business value.

While AI product management has the same responsibilities and skills as traditional product management, the AI ​​PM position is expanding to include additional responsibilities that require them to understand what happens in the development and deployment of AI applications, Which is different from a web application.

This requires coordination between data scientists and data engineers in addition to the traditional product team and stakeholders.

They should be well-versed in hardware, computer languages, data sets and algorithms and have practical expertise or practical knowledge of data processing and data modeling.

Having this proficiency helps them offer AI-powered specifications to data science teams in a timely and accurate manner.

average salary: According to Glassdoor, the average salary for an AI Product Manager in the United States is $187,309 per year.

2. AI Engineer

AI engineers use artificial intelligence and machine learning techniques to bring artificial intelligence initiatives to life. These AI-powered tools, applications, and systems can be applied to solve real-world problems and help companies become more efficient.

Their main responsibilities include creating algorithms and machine learning models, implementing AI frameworks, and designing, testing, and deploying AI models.

They work closely with data scientists and other AI professionals and play a major role in reducing costs, increasing profits, and creating business strategies.

average salary: According to Glassdoor, the average salary for an AI engineer is $133,992 per year.

3. AI research scientist

AI research scientists, also known as AI scientists, conduct research to investigate new AI approaches and applications, as well as conduct experiments to create unique AI techniques and algorithms capable of solving complex problems. .

They are masterminds who discover new ways to improve existing AI systems during the development phase.

average salary: In the United States, the national average salary for an AI Research Scientist is $103,633 per year.

4. Business Intelligence Developer

Business Intelligence Developers are software engineers who use data analytics and technical expertise to create BI solutions. They also have a good understanding of business processes to better assist them through data insights.

BI developers help companies make sense of corporate data by transforming raw data into valuable insights using data analytics platforms, reporting tools, and visualization approaches.

They develop and design various software solutions as well as program a variety of business intelligence tools that can be used to access data. Examples are query tools, data visualization and interactive dashboards, ad-hoc reporting, and data modeling tools.

average salary: The average salary for a Business Intelligence Developer is $103,837 per year.

5. AI Consultant

AI consultants are experts who evaluate an organization’s AI preparedness. By helping enterprises through the process of integrating AI technology into their operations, they leverage the power of AI and machine learning to boost productivity.

AI consultants use their technical expertise to direct other experts such as machine learning engineers, big data analysts, data scientists, and others in building reliable, better artificial intelligence systems.

average salary: According to Glassdoor, an AI consultant earns an average salary of $114,997 per year.

6. machine learning engineer

Machine learning engineers are highly capable programmers who research, develop, and design self-running algorithms capable of automating predictive models or models.

They oversee the maintenance and enhancement of existing artificial intelligence systems. They create software models that can be used to perform operations over time and find patterns in data sets.

The more the computer learns from the data set it is fed, the more accurately it predicts the outcome every time. They take on the role of a data scientist and a software engineer, analyzing, sorting, and integrating machine learning to complete development projects and predict future outcomes.

average salary: Machine Learning Engineer earns a national average salary of $122,948 in the United States.

7. Natural Language Processing Engineer

Natural language processing (NLP) engineers specialize in creating algorithms and systems that can understand, process, and interpret natural human language input.

They develop AI applications that can connect with people in a natural way by developing AI programs and using text and voice processing technologies to process text and speech data.

Therefore, NLP engineers must have proficiency in programming languages ​​as well as a strong understanding of computational linguistics. For NLP projects, machine translation, text summarization, question answering, and context understanding are all essential.

average salary: The average salary for an NLP Engineer is $109,771 per year.

8. robotics engineer

Robotic engineers specialize in designing, developing, and testing robots and robotic systems by incorporating AI algorithms and technologies.

They use AI and machine learning techniques to enhance the performance of robotic systems capable of performing autonomously.

The robotics field has seen great progress in recent years with its application in many industries such as healthcare, automotive, industrial and defence. Robotics engineers have engineering degrees, typically in the fields of mechanical, electrical, or electronic engineering.

average salary: The annual salary for a Robotics Engineer is $98,409 in the United States.


As a result, it is clear from the list of top high-paying AI professions that artificial intelligence is one of the most in-demand technologies in the world right now, and there has never been a better moment to explore AI.

Therefore, get relevant certifications and job experience to start a successful career in the AI ​​world.