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Artificial intelligence (AI) is no longer in the realm of science fiction. It’s an active part of the ongoing tech revolution and being used for new applications every day. This technology accomplishes tasks that range from letting us unlock our phones with our faces, to compiling data from scientific research. The World Economic Forum expects there to be 58 million new jobs in AI by 2022. Whether you wanting to better understand the AI landscape by taking an artificial intelligence online short course or have studied in a different field, you can find exciting jobs contributing to the future of artificial intelligence. A few of the top career choices available for those who wish to work with and help develop AI are:
1. User Experience (UX)
User experience is the field that ensures that products and services are easy for the consumer to use. UX specialists do things like exploring how a user interacts with a tool to find the functions that would make it easier to use and more useful.
Often, this job involves training AI so that it returns the results that users want. For instance, a virtual assistant should be able to provide information on local weather when the user asks whether it is going to rain that day. By working to better develop these functions, a UX expert will create applications and interfaces that make devices, apps, and websites more intuitive.
2. Data Science
Data is at the heart of AI learning. People who work in data analytics can help collect, compile and analyze data in order to communicate their findings and help guide the development of future AI.
Jobs in data science are perfect for people who have a good grasp of statistics and mathematics. Many data scientists also have programming knowledge and experience, but this may not be necessary depending on the specific job.
3. Natural Language Processing
One of the most visible applications of AI is in chatbots and virtual assistants. For these to work the way that they should, the AI needs to be able to comprehend and replicate human speech. Jobs in natural language processing require both language and technological skills.
There are a number of tasks and job functions that fall under the umbrella of natural language processing. People may work on helping computers recognize spoken language or printed text. They may work in a more granular area where they help AI perform speech segmentation, the separation of spoken language into individual words.
Another challenge of the job is helping artificial intelligence detect and understand contextual nuances of language through parsing and syntactic analysis. As this field advances, AI will be able to accomplish more and more language-related tasks.
4. Computer Vision
Computer vision is the area of AI research that helps develop new ways for robots to see. Generally, cameras are used to take in visual information that the AI then has to interpret and apply.
Sometimes this vision is used to help a moving robot navigate its way through an environment. Other times, it can be used for health applications like visually detecting parasites. Additionally, it can identify articles or brands of clothing on a website where users upload images.
5. Software Engineering
Software engineers help design and develop digital systems and programs. When it comes to AI, people in these roles will develop the technical functionality of products that use AI to carry out a wide range of tasks.
This is a booming field that is only going to get bigger. The Bureau of Labor Statistics anticipates that 316,000 jobs will be added to systems engineering by 2029.
6. AI Ethics
As artificial intelligence expands further into areas such as self-driving cars, an ethical framework is needed to help determine how these AIs can and should behave. Specialized ethicists consider the implications of different decisions and the best way for AI to choose its actions when it is working autonomously.
In most cases, AI careers involve combining some degree of computer science knowledge with experience and knowledge in another related field. By bringing together your own unique set of skills, you can find a way to work in the AI field and help the development of further AI research and applications.