TEMPO.CO, Jakarta – As technology advances, artificial intelligence (AI) rapidly becomes an essential part of our daily lives. While many people are concerned that AI will replace human jobs, the industry presents a multitude of attractive career opportunities with competitive salaries.
Citing Coursera, Forbes, University of San Diego, and Springboard, here’s a look at some of the top careers in artificial intelligence you should consider pursuing.
1. Artificial Intelligence (AI) Engineer
AI engineers are responsible for designing and developing AI applications and systems to enhance efficiency for businesses and individuals. This role requires you to be knowledgeable in software development, data science, programming, and machine learning.
On average, an AI engineer receives a salary of US$113,000.
2. Machine Learning Engineer
A machine learning (ML) engineer develops and programs machine learning models and is responsible for maintaining and improving existing AI systems.
As an ML engineer, you should understand ML itself, statistics, and mathematics and have experience with several programming languages, such as Python, Java, and SQL. This role, on average, makes US$123,000.
3. Data Engineer
If you’re planning to start a career in artificial intelligence, consider pursuing a data engineer position. Data engineers collect and manage raw data for data professionals to evaluate and optimize their performance.
This role is also highly lucrative, as you can make US$104,000 on average.
4. Robotics Engineer
Robotics engineers’ job involves designing, building, and testing robotic systems for a variety of industries, from automotive to healthcare. This role requires a combination of mechanical and electrical engineering, as well as computer science skills.
According to Coursera, the average salary of a robotics engineer can reach up to US$99,000.
5. Software Engineer
Often referred to as developers, the role of software engineers is to develop the software that powers AI applications. Their job also involves using programming languages, platforms, and architectures to build software products.
On average, a software engineer receives a salary of US$119,000.
6. Data Scientist
Data scientists analyze and interpret complex data sets to provide insights for decision-making. According to Forbes, key skills you should master to be a data scientist include data analysis, programming, and statistical tools.
The average salary of a data scientist is US$127,000.
7. Natural Language Processing (NLP) Scientist
NLP scientists specialize in teaching machines to understand and interpret human language. This role requires a deep understanding of computational linguistics, semantic extraction, data modeling, and programming languages.
As an NLP scientist, you can earn up to US$144,263 on average.
8. Business Intelligence (BI) Developer
A BI developer analyzes data to identify business and market trends. However, their role does not involve drafting reports themselves, but designing, modeling, and maintaining complex data in cloud-based data platforms.
The average earnings of a BI developer can reach up to US$98,326.
9. Computer Vision Engineer
As a computer vision engineer, you will need to teach computers to understand and interpret visual data with the help of AI-powered machine learning and computer vision approaches. You can earn an average of US$168,803 in this role.
10. Artificial Intelligence (AI) Research Scientist
If an NPL scientist teaches machines to comprehend human language, an AI research scientist improves AI’s ability to solve human problems. They push the boundaries of AI capabilities by asking new questions and problems.
The average salary of an AI research scientist stands at US$115,443 on average.
From AI engineer to machine learning engineer, these careers in artificial intelligence offer lucrative and promising opportunities in the tech industry. For more on this topic, check out our previous list of the highest-paying jobs in the world.
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