The world is changing fast thanks to artificial intelligence (AI). AI is making things smarter, faster, and easier in every field and sector. From medicine to music, from banking to education, AI is creating new possibilities and challenges. But how does this affect the job market? What are the jobs and skills that will be most needed and valued in the next few years? And how can you get ready for a rewarding career in AI?
In this article, we will show you 10 AI jobs that are in high demand in 2023. These are not only technical jobs, but also creative, analytical, and managerial ones. We will tell you what each job involves, what you need to do, and how much you can earn from it. We will also give you some examples of companies and projects that are looking for these talents. Whether you are a student, a professional, or a career switcher, you will find something that matches your passions and ambitions in this list. So let’s dive in!
Here are the 10 Jobs That are High in Demand in 2023
Machine Learning Engineer
A machine learning engineer designs and implements machine learning systems that can handle large amounts of data and perform complex tasks. They use big data tools, programming frameworks, and cloud platforms to create scalable and efficient data science models. They also collaborate with data scientists, software engineers, and business stakeholders to deliver solutions that meet the needs and expectations of the users.
Machine learning engineers need to have strong mathematical skills, experience in machine learning, deep learning, neural networks, and cloud applications, and programming skills in languages like Java, Python, and Scala. They also need to be familiar with software development tools like Eclipse and IntelliJ.
The average salary of a machine learning engineer in the US is $131,000. However, some high-technology companies like Apple, Facebook, Twitter, etc., pay significantly higher—in the range of $170,000 to $200,000.
Data Scientist
A data scientist analyzes and interprets large and complex datasets to extract insights and patterns that can help solve business problems or generate value. They use various techniques such as statistics, machine learning, data mining, visualization, and natural language processing to process and manipulate data. They also communicate their findings and recommendations to various stakeholders using reports, dashboards, or presentations.
Data scientists need to have strong analytical skills, experience in data science tools and frameworks like R, Python, TensorFlow, PyTorch, etc., and knowledge of databases and data structures. They also need to have good communication skills and business acumen.
The average salary of a data scientist in the US is $110,000. However, some high-technology companies like Google, Netflix, Amazon, etc., pay much more—in the range of $150,000 to $200,000.
AI Ethics Specialist
An AI ethics specialist is involved in ensuring that AI-powered platforms and products are designed and used responsibly. They evaluate the ethical implications of AI applications such as fairness, privacy, accountability, transparency, safety, etc., and provide guidance and recommendations on how to address them. They also monitor the impact of AI on society and stakeholders and advocate for ethical AI practices.
AI ethics specialists need to have a background in ethics, philosophy, law, or social sciences. They also need to have an understanding of AI technologies and their applications. They also need to have good communication skills and critical thinking skills. The average salary of an AI ethics specialist in the US is not available as it is a relatively new role. However, some estimates suggest that it could be around $100,000Some organizations that are hiring for this role including IBM, Microsoft, Facebook, etc.
AI Researcher
An AI researcher conducts scientific research on various aspects of artificial intelligence such as algorithms, models, methods, systems, etc. They aim to advance the state-of-the-art of AI and contribute to the development of new and innovative AI solutions. They publish their findings in academic journals or conferences and collaborate with other researchers or practitioners.
AI researchers need to have a Ph.D. or equivalent degree in computer science, mathematics, statistics, or related fields. They also need to have strong research skills, experience in AI and machine learning techniques, and programming skills in languages like Python, C++, or MATLAB. They also need to have good writing skills and presentation skills.
The average salary of an AI researcher in the US is $135,000. However, some high-technology companies like Google, Facebook, Amazon, etc., pay much more—in the range of $200,000 to $300,000.
Robotics Engineer
A robotics engineer designs, develops, tests, and maintains robots and robotic systems that can perform various tasks such as manufacturing, exploration, entertainment, etc. They use engineering principles, mathematics, computer science, and AI to create robots that can interact with their environment and humans. They also troubleshoot and fix any issues or errors that may arise in the robot’s performance or functionality.
Robotics engineers need to have a degree in robotics engineering, mechanical engineering, electrical engineering, or related fields. They also need to have experience in robotics software and hardware, such as ROS, Arduino, Raspberry Pi, etc., and programming skills in languages like C++, Python, or Java. They also need to have good problem-solving skills and creativity.
The average salary of a robotics engineer in the US is $96,000. However, some high-technology companies like Tesla, SpaceX, Boston Dynamics, etc., pay much more—in the range of $120,000 to $150,000.
Natural Language Processing (NLP) Engineer
A natural language processing (NLP) engineer develops and applies natural language processing techniques to analyze and understand natural language data such as text, speech, or audio. They use machine learning, deep learning, and natural language understanding to create applications such as chatbots, voice assistants, sentiment analysis, text summarization, etc. They also evaluate the performance and accuracy of their NLP models and improve them accordingly.
NLP engineers need to have a degree in computer science, linguistics, or related fields. They also need to have experience in NLP tools and frameworks such as NLTK, SpaCy, Gensim, etc., and programming skills in languages like Python, R, or Java. They also need to have good communication skills and analytical skills.
The average salary of an NLP engineer in the US is $128,000. However, some high-technology companies like Google, Amazon, Facebook, etc., pay much more—in the range of $150,000 to $200,000.
Computer Vision Engineer
A computer vision engineer develops and applies computer vision techniques to analyze and understand visual data such as images, videos, or live streams. They use machine learning, deep learning, and computer vision algorithms to create applications such as face recognition, object detection, medical imaging, augmented reality, etc. They also test and optimize their computer vision models and ensure their reliability and scalability.
Computer vision engineers need to have a degree in computer science, computer engineering, or related fields. They also need to have experience in computer vision tools and frameworks such as OpenCV, TensorFlow, PyTorch, etc., and programming skills in languages like Python, C++, or MATLAB. They also need to have good mathematical skills and creativity.
The average salary of a computer vision engineer in the US is $126,000. However, some high-technology companies like Apple, Microsoft, Netflix, etc., pay much more—in the range of $160,000 to $200,000.
AI Product Manager
An AI product manager oversees the development and delivery of AI-powered products or features that meet the needs and expectations of the customers and stakeholders. They define the product vision, strategy, and roadmap, and collaborate with various teams such as engineering, design, marketing, sales, etc., to execute them. They also conduct market research, user feedback, and data analysis to identify opportunities and challenges for their product.
AI product managers need to have a background in product management, business administration, or related fields. They also need to have an understanding of AI technologies and their applications. They also need to have good communication skills, leadership skills, and project management skills.
The average salary of an AI product manager in the US is $114,000. However, some high-technology companies like Google, Facebook, Amazon, etc., pay much more—in the range of $140,000 to $180,000.
Full Stack Developer
A full-stack developer is a software developer who can work on both the front-end and back-end of a web or mobile application. They use various technologies such as HTML, CSS, JavaScript, PHP, Ruby on Rails, etc., to create user interfaces and interactions. They also use databases, servers, APIs, etc., to handle data storage and processing. They are responsible for ensuring the functionality and performance of their applications across different platforms and devices.
Full-stack developers need to have a degree in computer science or related fields. They also need to have experience in web development tools and frameworks such as React.js Angular.js, Node.js, Django, etc., and programming skills in languages like Python, Java, or C#. They also need to have good problem-solving skills and creativity.
The average salary of a full-stack developer in the US is $108,730. However, some high-technology companies like Google, Facebook, Amazon, etc., pay much more—in the range of $130,000 to $170,000.
Principal Software Engineer
A principal software engineer is a senior-level software engineer who leads the design and development of complex software systems or applications. They use various technologies such as cloud computing, big data, AI, etc., to create scalable and reliable solutions that meet the requirements and specifications of the clients and stakeholders. They also mentor and supervise other software engineers and ensure the quality and standards of their work.
Principal software engineers need to have a degree in computer science or related fields. They also need to have extensive experience in software engineering tools and methodologies such as agile, scrum, DevOps, etc., and programming skills in languages like Java, C++, Python, etc. They also need to have good communication skills, leadership skills, and technical skills.
The average salary of a principal software engineer in the US is $155,000. However, some high-technology companies like Microsoft, Oracle, Salesforce, etc., pay much more—in the range of $180,000 to $220,000.
These are some of the most in-demand AI jobs that you can pursue in 2023. Of course, there are many more AI careers that you can explore, such as AI consultant, AI educator, AI journalist, etc. The key is to find your passion and niche in this exciting and evolving field and keep learning and updating your skills and knowledge.
Thoughts
Artificial intelligence is a field that offers endless possibilities and opportunities for those who are interested in pursuing a career in it. Whether you are a technical, creative, analytical, or managerial person, there is an AI job for you. In this article, we have listed 10 of the most in-demand AI jobs that pay well and offer exciting challenges. However, this is not an exhaustive list, and there are many more AI careers that you can explore and pursue.
The key to succeeding in any AI career is to have a passion for learning and innovation, and a willingness to adapt and grow with the changing technologies and trends. AI is a field that is constantly evolving and advancing, and so should you. If you are ready to take on the challenge and join the AI revolution, then start preparing yourself today and get ready for a rewarding and fulfilling career in AI.