1. Machine Learning Engineer

Master the future: Your guide to the 10 hottest careers in AI

Discover the revolutionary opportunities AI is creating in the tech job market

From self-driving vehicles to robotic assistants, AI is no longer a futuristic concept. It surrounds us in our daily lives and companies in every industry are seeking its capabilities. And while there has been a lot of talk about AI stealing jobs, the reality is it creates more new opportunities than it takes. With predictions from the World Economic Forum expecting AI to create approximately 97 million new jobs by 2025, there is a clear demand for AI talent. So, if you're looking for ways to future-proof your career, now is the time to consider a role in AI. Continue reading to learn about the top 10 AI jobs in 2024 and the skills you need to land one of these roles.

Salary Range: $95,840 to $224,480 Machine learning engineers research, design and develop AI models and systems that can analyze large datasets, make predictions and learn and adapt on their own. Day-to-day duties include creating algorithms, deploying models, building and managing data pipelines and performing statistical analyses to enhance AI model performance.

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AI skills employers are looking for

Published March 2024

Regardless of the role or industry, artificial intelligence skills are in high demand. Businesses need employees who have the skills to successfully develop, implement and manage AI systems and applications. Whether you're working directly in the field of AI or use it within your role, the following skills are essential: • Programming languages such as Python, Java and C/C++ • Natural language processing (NLP) • Large language models (LLMs) • Data science • Generative AI • Prompt engineering • Object detection • Soft skills including creativity, critical thinking and problem solving

The top 10 AI jobs of 2024

2. Natural Language Processing (NLP) Engineer

Salary Range: $71,282 - $198,099 Natural language processing engineers help computer systems understand and interpret human language. They do this by developing modeling techniques for turning unstructured speech and text into language a computer can understand so the systems can react appropriately to human voice. They also use large datasets to train machine models and run experiments on NLP technology.

4. AI Research Scientist

Salary Range: $108,768 - $252,768 AI research scientists conduct research, run experiments and recommend solutions to various issues with artificial intelligence systems. The primary aim of this role is to help advance the field of AI by developing innovative algorithms, models and systems that enable machines to perform tasks that would typically require human intelligence.

3. AI Ethics Consultant

Salary Range: $76,512 - $202,592 AI ethics consultants have a crucial role in ensuring systems follow established standards and guidelines. Day-to-day duties include identifying bias and other issues through ethical impact assessments, advising team members on implications and working with the legal team to ensure compliance with all laws and regulations.

6. Data Scientist

Salary Range: $58,510 - $174,782 Data scientists collect, analyze and interpret large datasets to provide valuable insights to the company they work for. They create and use machine learning and predictive analytics to gain insights that go beyond statistical analysis and use various data visualization techniques to make information easier to understand when presenting to stakeholders.

5. Robotics Engineer

Salary Range: $56,992 - $154,976 Robotics engineers use automation and AI to design, develop and test robotic prototypes and ensure robotic systems continue to operate appropriately. This role is also responsible for troubleshooting and correcting issues with robotic machines if they arise. Other duties sometimes include creating documentation of the development process, conducting market research and customer needs analysis and providing technical support to team members.

8. Computer Vision Engineer

Salary Range: $104,992 - $234,080 Computer vision engineers help computer systems see and interpret visual information the same way a human brain does. They are responsible for designing and training machine learning models to analyze and extract insights from digital images and videos. They achieve this by conducting extensive research to understand visual recognition systems and find enhancement opportunities.

7. Business Intelligence (BI) Developer

Salary Range: $70,432 - $164,064 Business intelligence (BI) developers design, model, build and maintain the infrastructure that AI data warehouses and storage systems need to function. This role is responsible for using integration systems to ensure data is of the highest quality possible so it can be effectively used by AI algorithms.

10. Software Developer

Salary Range: $71,282 - $198,099 Software developers design, code and test the algorithms that make AI systems possible. Working closely with data scientists and AI researchers, software developers are responsible for creating systems that can perform intricate tasks such as natural language processing and image recognition. They also perform tests to ensure AI systems are reliable, secure, scalable and can sustain large volumes of data and traffic.

9. Computational Linguist

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Salary Range: $90,016 - $240,864 Computational linguists develop algorithms and models that process and analyze human language. This is used to create AI systems for speech recognition and machine translation applications like chatbots and virtual assistants. Day-to-day responsibilities include designing and implementing natural language processing systems, developing machine learning algorithms for language processing and analyzing linguistic data to find trends and patterns.

97 million new jobs by 2025

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Salary Range Sources The compensation model combines wage data from two distinct sources. The backbone for all occupational wage data is the Bureau of Labor Statistics' Occupational Employment and Wage Statistics (OEWS) dataset. Job postings are used to supplement OES data by providing wage observations that can be tied to skills and certifications. Job postings are scraped from online sources.