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The two little letters AI evoke different feelings in different people. Some people roll their eyes thinking that it is overrated, others worry that their current job will become obsolete due to AI, and others get excited about the potential of AI to revolutionize the way we do thing.
If you are in the final category and you are interested in learning more about artificial intelligence, how it works, and what you can do with it, you might be interested in the kinds of jobs you can apply for now as an AI expert.
Many AI jobs are remote since AI specialist companies are often built on remote-first principles, and they want to recruit the best talent, wherever they are in the world. The US Bureau of Labor Statistics projects that AI related jobs will increase by 23% in the next ten years.
In this article, we are going to look at some of the remote AI jobs you can apply for today, and also some of the best courses you can take to develop your AI and Machine Learning experience to be competitive in the AI job market.
Remote AI Jobs Available in 2025 + Salaries
AI Engineer
AI engineering is a form of software engineering, except that you specifically work with AI and machine learning techniques to develop required applications and systems. As well as a good grounding in programming, you need to understand how to “train” algorithms with data to solve problems and produce code. The estimated average salary for this kind of role is US$115,000 per year.
Machine Learning Engineer
As a machine learning engineer, you will work with existing AI systems and design how they learn. You design and create AI algorithms capable of learning and making predictions. You often bridge the gap between data scientists and those constructing AI systems. You will select datasets, verify the data, analyze and review the results, and use those results to retrain systems as needed. You could expect to earn a salary around US$125,000 per year.
Data Engineer
Data engineers build systems that collect, manage, and convert raw data into a usable format for business analysts and other professionals. Generative AI tools can be used to do tasks such as eliminate redundant data, filling gaps in datasets, and alert human engineers when anomalies arise. Engineers are still needed to connect disparate data states and source logic from the data. As a data engineer, you can expect to earn at last US$100,000 a year.
AI Consultant
AI consultants are AI experts that help businesses implement AI solutions for businesses. They will evaluate business needs and make strategic AI integration recommendations and assist with implementation. They should also have expertise in the ethical and regulatory landscape of AI. Depending on experience, you can expect to ern between US$120,000-$200,000 per year.
AI Artist Engineer
AI artists use artificial intelligence to enhance and streamline the graphics production process. You need to have an eye for graphics and design and a good knowledge of how to command AI, training it to aligns to design guidelines. Demand for AI artists is expanding, and you can expect a salary of US$60,000-$100,000 per year.
AI Prompt Engineer
A prompt engineer guides generative AI to generate desired outputs. It requires detailed instructions to create the desired output. This can be applied in a number of different fields from generating articles to training chatbots. You will probably use a system of trial and error to create a collection to text inputs for consistent generation. Salaries can vary greatly depending on the field and your experience, but you can earn US$75,000+ per year.
AI Researcher
AI researchers are responsible for pushing the boundaries of what is possible with AI by conducting studies and experiments to develop new algorithms, improve existing models, and solve complex problems. This is usually a career for someone with an advanced degree or significant experience in AI R&D. Salaries can be as much as US$200,000 per year.
Fundamental Skills Needed for AI Work
While these jobs come with attractive salaries, they are also jobs that require a significant level of qualification. So, what are the key skills and qualifications that will help you build a career in AI?
Programming
AI is more or less just significant programming, so a good foundation in programming is an essential skill. Priority programming languages include Python, Java, Apache Spark, Python 3, and Pandas.
Data Modelling and Processing
AI and data go hand in hand, as AI learns through consuming data. Experience managing large amounts of data will help you qualify for roles in machine learning. Being able to design and manipulate databases with relational algebra and SQL will be useful skills.
Machine Learning
Machine learning is what makes machines smart and able to complete tasks without being told what to do. To work with this kind of technology you need to understand the fundamental theory behind machine learning, current AI and machine learning techniques, and optimization algorithms to create and train neural networks.
Intelligent User Interfaces
Since AI devices are designed to respond to prompts and commands, so AI experts need to be fluent in user interface design. This is the way that people interact with the system through remote control, touch screens, and voice recognition.
Problem Solving
The purpose of AI and computer science is to solve problems. No matter what career path you take within AI, this will be an essential skill. Therefore, developing an analytical mind is essential.
AI and Machine Learning Courses
So, if you are interested in an AI job and you aren’t yet qualified, what courses can you take to bring up your knowledge and skill levels?
MIT: Artificial Intelligence: Implications for Business Strategy
If you are interested in management and business strategy roles linked to AI, this is just one of several AI oriented courses offered by MIT. The course is a self-paced online course estimated to take about six weeks if you commit six to eight hours a week. The cost of the course is US$3,500.
The course focuses on key AI technologies such as machine learning, natural language processing, and robotics, and understanding the implications of these technologies for business strategy and economic and social issues.
USAII: Certified Artificial Intelligence Engineer
The United States Artificial Intelligence Institute offers several online courses, the most comprehensive of which is their AI engineering course. The self-paced online course takes between four and 25 weeks with eight to ten hours a week, and courses start from US$691. To qualify for the course, you should already have a bachelor’s degree in any academic discipline, but STEM if preferred, and basic proficiency in a programming language such as Python, R, or Java.
The course covers artificial intelligence, machine learning, deep learning, deep reinforcement learning, computer vision, GANs, natural language processing, and reinforcement learning.
ARTIBA: Artificial Intelligence Engineer
This course is offered by the Artificial Intelligence Board of America is designed for professionals looking to develop skills, and they have two different tracks for those with and without degrees and experience in computer science. The course takes six months and starts from US$500.
IBM: Applied AI Professional Certificate
This IBM course is a six-month course offered via Coursera and is a flexible online course that takes around four hours a week targeted at beginners. You will learn fundamental concepts, how to build generative AI-powered apps and chatbots using various programming frameworks, and how to use Python and Flask to develop and deploy AI applications to the web.
Google: Advanced Data Analytics Professional Certificate
Google also offers their AI professional certificate via Coursera, but it is an advanced level course. The course takes around six months with a dedicated ten hours a week. You will learn to create data visualizations, apply statistical methods to investigate data, communicate insights from data analysis, and build regression and machine learning models to analyze and interpret data.
The Future of AI Jobs
As AI continues to evolve, so will opportunities within the field. This gives interested people the challenge of preparing for the jobs available today, while constantly evolving their knowledge to be prepared for the jobs of the future, which are arriving faster than anyone can imagine.
