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10 Highest-Paying AI Jobs: A Comprehensive Guide | BitPinas

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  • AI careers are flexible and diverse, as they require a combination of technical and non-technical skills and can involve various tasks such as research, development, analysis, design, and implementation. 
  • Currently, there are more or less 15,000 jobs related to AI ‌listed on LinkedIn, across a wide range of industries such as technology, healthcare, finance, education, and entertainment. 
  • AI professionals can create innovative and intelligent solutions that can enhance user experience and provide valuable insights for various industries and domains.

As the artificial intelligence (AI) industry matures, AI-related jobs will surely increase in flexibility and diversity. 

AI-related jobs are very important in the current job market, as they are in high demand, offer high salaries, and have a lot of growth potential. 

(Read more: Find more Artificial Intelligence news and guides on BitPinas)

Understanding the AI Job Market

According to LinkedIn, AI practitioners and machine learning specialists are on the “Jobs on the Rise” list for 2021. Also, a study by the World Economic Forum predicted that AI is expected to create 97 million new jobs by 2025. This growth is being driven by the increasing adoption of AI by businesses across all industries.

Currently, there are more or less 15,000 jobs related to AI ‌listed on LinkedIn, across a wide range of industries such as technology, healthcare, finance, education, and entertainment. 

AI careers are also flexible and diverse, as they require a combination of technical and non-technical skills and can involve various tasks such as research, development, analysis, design, and implementation. In this industry, professionals can also work as freelancers, consultants, researchers, practitioners, or even build their own AI products

In this article, let us explore the ten highest-paying well-established AI-related jobs suitable for individuals. Discover career paths, earning potentials, required skills, and how AI is transforming the job market.

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The 10 High-Paying AI Jobs Prominent in Today’s Era

Machine Learning Engineer: Building Intelligent Systems

A machine learning engineer is a computer programmer who specializes in creating self-running artificial intelligence systems that can learn and make predictions from data. They are responsible for researching, building, designing, and maintaining the AI algorithms that define machine learning. 

  • Annual Average Salary for Top-Tier Employees: $200,000.
  • Skills Required for the Job: Machine learning, deep learning, neural networks, cloud applications, and familiarity with programming languages.

(Read more: Five Must-Try AI Web Apps for Beginners and Enthusiasts)

Data Scientist: Turning Data into Opportunities

A data scientist is a professional who uses data to help businesses make decisions. They apply mathematical, statistical, and programming skills to collect, analyze, and interpret large amounts of data. They also use data visualization techniques to present their findings and insights in a clear and compelling way.

  • Annual Average Salary for Top-Tier Employees: $170,000.
  • Skills Required for the Job: Data science, machine learning, statistics, data visualization, and familiarity with programming languages.

Computer Vision Engineer

A computer vision engineer is a professional who specializes in developing and implementing computer vision and deep learning models to solve problems that involve processing and understanding visual data like images and videos. They use image processing, machine learning, and artificial intelligence techniques to create systems that can perform tasks such as object detection, face recognition, scene segmentation, and image enhancement.

  • Annual Average Salary for Top-Tier Employees: $150,000.
  • Skills Required for the Job: Computer vision, machine learning, image processing, and familiarity with programming languages.

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Director of Analytics

A director of analytics is a professional who leads the data analytics and data warehousing departments, overseeing all activities and ensuring alignment with the organization’s vision and objectives. They are responsible for promoting data-driven decision-making and investment planning across the organization. They also provide management visibility into data-driven insights that inform the organization’s strategic direction and key performance indicators. 

  • Annual Average Salary for Top-Tier Employees: $140,000.
  • Skills Required for the Job: Data analysis, data science, machine learning, business intelligence, and familiarity with programming languages.

Principal Scientist

A principal scientist is a senior researcher who leads and conducts experiments and investigations in various scientific fields. They work in laboratories and oversee the work of other scientists and technicians. They also report their findings and provide recommendations to stakeholders and managers.

  • Annual Average Salary for Top-Tier Employees: $130,000.
  • Skills Required for the Job: Research, machine learning, data science, statistics, and familiarity with programming languages.

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Algorithm Engineer

An algorithm engineer is a highly skilled specialist who uses math, science, and coding languages to solve problems with data sets and AI applications. They create, install, test, and analyze algorithms for different purposes and domains, such as Bluetooth, cybersecurity, and trading.

  • Annual Average Salary for Top-Tier Employees: $100,000.
  • Skills Required for the Job: Algorithms, data structures, machine learning, and familiarity with programming languages.

Data Engineer

A data engineer builds systems that collect, manage, and convert raw data into usable information for business analysts. They are responsible for promoting data-driven decision-making and investment planning across the organization. They also provide management visibility into data-driven insights that inform the organization’s strategic direction and key performance indicators

  • Annual Average Salary for Top-Tier Employees: $100,000.
  • Skills Required for the Job: Data engineering, ability to use large data tools, and familiarity with programming languages.

(Read more: Beginner’s Guide to Google Bard: Unleash AI Conversations for Everyday Users)

Computer Scientist

A computer scientist is a professional who engages in the study, experimentation, and exploration of technological fields such as artificial intelligence, robotics, and virtual reality. They possess the ability to think through complex computational and mathematical problems and challenges, aiming to improve the performance of computer systems and software.

  • Annual Average Salary for Top-Tier Employees: $90,000.
  • Skills Required for the Job: Computer science, machine learning, algorithms, and familiarity with programming languages.

Statistician

A statistician is a professional who analyzes numerical data to identify trends and patterns that help inform planning and decision-making processes in an organization. They use various statistical methods, techniques, formulas, and tests to collect, process, interpret, and present data in a clear and meaningful way.

  • Annual Average Salary for Top-Tier Employees: $90,000.
  • Skills Required for the Job: Statistics, data analysis, machine learning, and familiarity with programming languages.

Research Engineer

A research engineer is a professional who uses their expertise in engineering and science to develop and improve products, processes, or technologies. They conduct research, experiments, and analysis to solve problems and create innovative solutions. 

  • Annual Average Salary for Top-Tier Employees: $90,000.
  • Skills Required for the Job: Research, machine learning, computer vision, and familiarity with programming languages.

(Read more: How to be a Prompt Engineer and Master AI Conversations)

Closing Thoughts

AI-related jobs require a combination of technical and non-technical skills to perform various tasks and roles in the AI industry.

The skills required for each occupation mentioned above are important because they enable AI professionals to perform their tasks and roles effectively and efficiently. They also help AI professionals to keep up with the fast-paced and dynamic nature of the AI field, which is constantly evolving and advancing. 

By having these skills, AI professionals can create innovative and intelligent solutions that can enhance user experience and provide valuable insights for various industries and domains.

Are there any high-paying well-established AI-related jobs that you are dreaming of becoming one day? 

This article is published on BitPinas: 10 Highest-Paying AI Jobs: A Comprehensive Guide

Disclaimer: BitPinas articles and its external content are not financial advice. The team serves to deliver independent, unbiased news to provide information for Philippine-crypto and beyond.

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