10 High Paying Jobs in Artificial Intelligence and Data Science

As organizations and businesses strive to gain a competitive advantage and make data-driven decisions, the demand for skilled AI and data science professionals has skyrocketed.

Below we will learn about 10 jobs related to AI and data science that are predicted to increase rapidly in the near future and especially these are jobs that will have high income.

1. Machine Learning Engineer

Machine learning (ML) is a field of artificial intelligence that involves the study and development of techniques that enable systems to “learn” automatically from data to solve specific problems. ML algorithms are computer programs that can learn how to complete tasks and improve their performance over time.

ML still requires human judgment in understanding the database and choosing the appropriate techniques to analyze the data. At the same time, before using, the data must be clean, free of bias and fake data.

Machine learning engineers will program and build systems and machines that can learn, developing codes and programs that allow machines to perform the necessary actions in specific situations. They may be programmers, but their products are special programs. They allow machines to learn and perform tasks on their own. Self-driving cars are one of the simple examples of what they do.

Machine learning is a part of computer science, so having a foundational knowledge of computer programming, data science, and mathematics is essential. Most machine learning engineer positions require candidates to have at least a bachelor's degree in a related field/major.

Therefore, to start a career as a machine learning engineer, you can start with a major in computer science or related majors. This is one of the highly appreciated careers and has become the goal of many young people who love this field.

According to the famous recruitment website Glassdoor (USA), the average salary of a machine learning engineer in the US is 114,000 USD to 150,000 USD per year depending on the programmer's experience, qualifications and processing ability.

2. Data Scientist

In recent years, the growing need for digital transformation has highlighted the role of data and made data science one of the fastest growing fields across industries. Data is a valuable asset for various industries to help make informed and informed business decisions. Data science has the ability to turn raw data into meaningful insights.

It is therefore no surprise that the role of a data scientist has been dubbed “the sexiest job of the 21st century” by the Harvard Business Review. Organizations and businesses are increasingly relying on data to make decisions and recommend plans to improve business results.

Data scientists are skilled at extracting meaningful insights from massive amounts of data. They use advanced statistical techniques and machine learning algorithms to discover patterns, trends, and correlations. Data scientists are essential in formulating business strategies and making data-driven decisions. Data science is a highly sought-after profession with an average salary of over $120,000 per year.

3. AI Research Scientist

The Fourth Industrial Revolution (Industry 4.0) has witnessed the explosive development of new technologies, strongly impacting all aspects of life. One of the biggest characteristics of Industry 4.0 is AI. This is also one of the most searched phrases in the technology field around the world.

Artificial intelligence is a field of computer science that studies and creates machine systems that simulate human intelligence, programmed to imitate human thinking and actions.

Artificial intelligence has been widely applied in all aspects of daily life. Some examples include facial recognition, language translation software, self-driving cars, virtual assistants, customer chat software (chat bots), etc.

AI research scientists focus on developing generative AI algorithms and models. They delve into new research to push the boundaries of AI capabilities. These professionals possess strong mathematical and analytical skills as well as expertise in machine learning and deep learning techniques.

According to data from the US employment service company ZipRecruiter, the salary of an AI research scientist currently ranges from $107,000 to $173,000 per year.

4. Big Data Engineer

Big data is a data system with large and complex data volume. The data is so huge that it is difficult to process and manage by traditional methods. This data system includes structured, semi-structured and unstructured data.

These data will provide information every day for organizations and businesses. Thanks to big data, organizations and businesses can take advantage of it to capture and understand customers more easily. In addition, organizations and businesses can also use data systems to analyze useful information, thereby helping to make better decisions and solve problems.

As data volumes grow exponentially, big data engineers play a key role in managing and processing large-scale data sets. They develop robust data pipelines, implement data storage solutions, and optimize data retrieval and analysis. With an average salary of around $110,000 per year, big data engineering offers opportunities for professionals with programming skills and a solid database background.

5. AI Ethicists

AI is revolutionizing the way people live and work, bringing huge benefits to society and the economy. However, it will only be truly effective when AI is used responsibly. Therefore, organizations, businesses, and governments need to ensure that ethics and human rights are at the heart of the design, development, and application of AI.

As AI systems become increasingly complex and influential, the need for jobs related to AI ethics is growing. Professionals in this field combine technical expertise with a deep understanding of the social, ethical, and legal implications of AI.

Ethical considerations are paramount as AI becomes increasingly integrated into various aspects of society. AI ethicists work to ensure that AI technologies are developed and deployed ethically. They work to develop policies and guidelines to ensure that AI technologies do not harm society or discriminate against individuals. According to data from the US-based job-services company ZipRecruiter, the average salary of an AI ethicist is around $137,000 per year.

6. Business Intelligence Developer

Today is the era of social media explosion. Organizations and businesses that want to increase revenue and profits need to grasp the desires and aspirations of customers through data collected by digital technology.

To process the huge amount of data collected, organizations and businesses need business intelligence developers. They are the ones who work directly with raw data, including indicators collected from outside (such as customer interactions, market surveys) and past figures (company financial reports). Then, analyze and come up with effective business strategies.

Business intelligence developers leverage data to drive strategic decision-making within organizations. They collect and analyze data from a variety of sources, providing valuable insights to support business growth and optimization. Typically, business intelligence developers will earn between $70,000 and $120,000 per year. Salaries can vary depending on the size of the company, their skills, and their tenure.

7. Robotics engineer

Nowadays, robotics is becoming a rapidly expanding field and is being exploited and applied by many organizations, corporations, and companies. Investing in the field of robotics is the goal of the industry as well as businesses to maintain and improve the development of technology. Therefore, those who have knowledge and experience in manufacturing and controlling robots will have many advantages in the current labor market.

Robotics engineers combine AI and mechanical engineering to create intelligent robotic systems. They design, develop, and program robots that can perform complex tasks autonomously or assist humans in various industries. Robotics engineers work in a variety of fields, such as manufacturing, healthcare, logistics, and automation. According to the popular recruitment website Glassdoor (USA), the salary of a robotics engineer in the US typically ranges from $70,000 to $144,000 per year.

8. Natural Language Processing (NLP) Engineer

Natural language processing is a branch of AI that focuses on the interaction between computers and natural human language, in the form of speech or text. The goal of this field is to help computers understand and effectively perform tasks related to human language such as human-computer interaction, improve the efficiency of human-to-human communication, or simply improve the efficiency of text and speech processing.

NLP engineers develop algorithms and systems that enable computers to understand and interact with human language. They design chatbots, voice assistants, and language translation systems. With the growing demand for AI-powered language processing solutions, NLP engineers are in high demand in industries such as customer service, healthcare, and media. According to data from ZipRecruiter, a career services company in the United States, the average annual salary for a natural language processing engineer in the United States is about $88,600.

9. Computer vision engineer

Computer Vision is a field of computer science that focuses on replicating the complex parts of the human visual system and allowing computers to identify and process objects in images and videos in the same way humans do.

One of the factors driving the growth of computer vision is the amount of data we generate today that is used to train and make computer vision better.

One area that has seen huge advances thanks to advances in computer vision that we encounter every day is facial recognition. For example, Apple uses facial recognition algorithms to unlock iPhones. Facebook uses facial recognition to identify users in photos you post online.

Computer vision engineers harness the power of AI to enable machines to interpret and understand visual information. They develop algorithms for image and video analysis, object recognition, and autonomous navigation. Computer vision has real-world applications such as self-driving cars, surveillance systems, medical imaging, and augmented reality, creating a wide range of job opportunities for computer vision engineers. According to data from the employment service company ZipRecruiter (USA), the average annual salary for a computer vision engineer in the US is $119,659.

10. AI Product Manager

A product manager in the AI ​​field will be responsible for solving problems by collecting data sets in a more strategic way.

To become an AI product manager, you need to have knowledge of how to define problems, collect data, and how to interpret and evaluate its impact on business operations.

AI product managers bridge the gap between engineering teams and business stakeholders. They have a deep understanding of AI technologies and market trends, allowing them to guide the development of AI-powered products and services.

AI product managers are responsible for defining product strategy, identifying customer needs, and overseeing the product lifecycle. According to the popular recruitment website Glassdoor (USA), the average salary of an AI product manager in the US is about $135,000 per year.