The introduction of artificial intelligence has the potential to create millions of new jobs. (Getty Images/Pink News)
Artificial intelligence (AI) will revolutionize our lives, and while AI may displace some jobs, it will also create thousands of careers.
With the notoriety of ChatGPT, the concept of artificial intelligence is no longer some kind of abstract concept. AI has been used quietly in the background on most social platforms, but it is now accessible to everyone. From writing code to resumes and everything in between, people are using AI to make their lives easier.
Many technology visionaries believe that AI will have the same impact as the internet, smartphones, and the mobile web. Rather than take a Luddite approach and ignore the benefits that AI can bring, now is the time to embrace the technology, including in our jobs.
Artificial intelligence is one of the fastest growing fields in technology, along with machine learning, and there are many exciting career opportunities for those looking for a career in the future. AI is predicted to create 97 million new jobs by 2025, and many companies struggle to find qualified talent to create, train, and maintain AI and ML systems.
If you're considering a career change, we've selected some roles in AI that will be in high demand in the coming years. These roles require prior knowledge of computer science or mathematics, and online courses and new certifications in this field are emerging as quickly as technology advances.
So if you're thinking of reskilling for a career in artificial intelligence, consider these exciting opportunities.
chatbot developer
Many of us have interacted with chatbots online, and as generative AI and large-scale language models continue to evolve, chatbots are the perfect platform to share information. Chatbot developers use natural language processing, programming, and other technologies to create human-like interactions with users that answer questions, provide recommendations, and perform other tasks instantly. Create a chat feature that provides interaction.
AI prompt engineer
The rapid growth of the AI industry is creating new roles and opportunities, and the role of AI Prompt Engineer is a great example of this. In this role, agile architects excel at creating textual cues that resonate with expansive language models and generative AI tools. Unlike traditional programmers, AI prompt engineers harness the power of the written word to scrutinize the quirks of AI systems.
The AI Prompt Engineer's responsibilities extend to training and refining tools like OpenAI's ChatGPT, Google's Bard, and other cutting-edge AI platforms. The ultimate goal is for these tools to provide accurate and relevant answers to inquiries from individuals.
machine learning engineer
One of the most in-demand AI-related roles, machine learning engineers are responsible for designing, building, and deploying machine learning models. You'll be working with large datasets, developing algorithms, and optimizing models to improve performance. A career as a machine learning engineer can lead to high-paying jobs and job security.
AI ethics expert
One of the biggest AI-related concerns many people have is the bias that can be introduced by human bias during programming. That's why AI ethics experts are key to AI fairness. The AI Ethics Specialist is responsible for ensuring that AI-powered products and services are developed and used in an ethical and responsible manner. This includes identifying potential ethical issues and developing guidelines and policies for AI development. As with all the other roles on this list, a background in computer science is required, but a strong background in ethics and philosophy is also required.
data scientist
If you're looking to break into the industry, getting into data science is a great way to start and future-proof your new career in AI. Data scientists analyze large amounts of data to uncover patterns and insights that inform business decisions. This involves using machine learning algorithms and statistical models to identify trends and make predictions. This role typically requires a strong background in statistics, mathematics, and computer science.
AI researcher
With an average annual salary of £42,000 (US$50,000) and increasing demand, a career in AI research offers great opportunities. AI researchers are responsible for developing new algorithms and models for machine learning. This includes researching machine learning techniques, experimenting with different approaches, and publishing the results.
robot engineer
I've even dreamed of it actually Do you work with robots? Robotics engineers are responsible for designing and building robots that can perform specific tasks. This includes integrating machine learning algorithms into the robot's control system to enable it to learn and adapt to new situations. It's not the easiest career to get into, as it requires a strong background in electrical and mechanical engineering, but it can be not only really cool, but also very rewarding.
Natural Language Processing (NLP) Engineer
Without the input of natural language processing engineers, we would be using our phones in a completely different way. NLP engineers are responsible for developing algorithms and models to process and analyze natural language data. This includes working with large datasets of text and audio, developing algorithms to analyze and classify the data, and optimizing models for increased accuracy. Passion for languages and problem-solving skills are essential to success as an NLP engineer.
computer vision engineer
Truly one of the most “futuristic” roles on our list, computer vision engineers make it easy for computers to “see” images and videos. Also known as CV engineers, they develop algorithms and models to analyze visual data. This includes working with large datasets of images and videos, developing algorithms to identify objects and patterns, and optimizing models for increased accuracy.
AI product manager
Finally, who manages the lifecycle of an AI project? An AI product manager is responsible for overseeing the development of AI-powered products and services. This includes identifying user needs, defining product requirements, and managing the development process. To be successful in this role, you will need a background in product management and a solid understanding of AI and machine learning.
