5 Popular AI Jobs You Can Do From Home Paying Over $100,000 a Year

Machine Learning

As artificial intelligence (AI) becomes more prevalent, it will dramatically change the world of work as we know it. A World Economic Forum report estimates that 85 million jobs could be lost by 2025 due to changes in the division of labor between humans and machines. However, the report also predicts that 97 million new jobs could be created over the same period.

AI-related jobs typically require specific experience and skills, but if you have what it takes, they can lead to a stable, well-paying career — and some of these jobs can even be performed fully remotely.

If you're comfortable learning new skills or already have experience with AI, you might consider one of these AI-related jobs from FlexJobs, all of which pay six-figure salaries and allow you to work from home.

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AI Jobs 1

AI Research Scientist

  • Average salary: $143,184
  • Key skills and experience required: Applied Mathematics, Machine Learning, Deep Learning, Computational Statistics, Computer Perception, Natural Language Processing

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AI Jobs 2

AI Engineer

  • Average salary: $134,561
  • Key skills and experience required: Software Development, Data Science, Programming, Machine Learning

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AI Job 3

Machine Learning Engineer

  • Average salary: $118,859
  • Key skills and experience required: Programming experience (Python, Java, SQL), machine learning, deep learning, statistics, mathematics
AI Job 4

Natural Language Processing (NLP) Scientist

  • Average salary: $106,653
  • Key skills and experience required: Computational linguistics, semantic extraction, data modeling, programming languages
AI Jobs 5

Data Scientist

  • Average salary: $100,588
  • Key skills and experience required: Data Analysis, Programming and Statistical Tools

Data provided by FlexJobs and is accurate as of June 24, 2024.

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This article originally appeared on GOBankingRates.com: 5 Popular AI Jobs You Can Do From Home and Pay Over $100,000

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.



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