As the number of ways AI can be used grows, so do the job opportunities for people with the skills they need to do well in this field. The Future of Jobs 2018 report from the World Economic Forum says that there will be 58 million more jobs in the artificial intelligence profession by 2022.
But Edmunds says that people with the right mix of skills are often hard to find. “The AI job market is big, but few people are trained for it. This means those with the skills to work in this niche area have a better-than-average job outlook.
Best High paid Artificial Intelligence profession list:
Artificial Intelligence Research
Even though many of these top jobs look at how AI can be used or what it can do, the main goal of computer science and AI research is to find ways to improve the technology. “Someone will always find a way to make a machine go faster. Someone will constantly be pushing the limits, and that person will be a computer scientist.
Responsibilities: Computer science and artificial intelligence researchers’ duties depend greatly on what they specialize in or their role in the field. Some people might be in charge of making AI data systems better. Others could be in charge of making new software that can find new opportunities in the field. Others may make sure that these tools are made with ethics and accountability in mind. No matter what they specialize in, people in these roles will work to find out what these technologies can do and then help make changes to existing tools so they can do that.
Career Prospects: Since these people are at the center of progress in AI, their job prospects are very good. As of 2018, the New York Times estimates that high-level AI researchers at top companies make more than $1,000,000 per year, while lower-level employees make between $300,000 and $500,000 per year in salary and stock. People who work in basic AI research jobs make an average of $92,221 per year.
Ai software developers or engineers
Traditional computer science jobs, like software engineers, are also needed in the AI field to make the programs that make AI tools work.
Responsibilities: Software engineers contribute to designing and developing digital programs or systems. In AI, people in these roles are in charge of building the technical parts of products that use machine learning to do various tasks.
Career Prospects: The Bureau of Labor Statistics expects a 22 percent increase in software engineers by 2029, with 316,000 new positions added. Software engineers also make an average of $110,140 per year, but those who specialize in AI may be able to make more.
Natural Language Processing
Many of the most popular AI uses for people today involve language. AI tools have made chatbots, virtual assistants, and predictive texting on smartphones that sound like people. To do this well, developers use the knowledge of natural language processors, people who know both language and technology and can help make these tools. Machine learning is used in the process of natural language processing. It is a very large field.
Responsibilities: Because natural language processing has so many applications, the responsibilities of professionals in this discipline will vary. But in general, people in these roles will use their deep knowledge of language and technology to create ways for computers to talk to people.
Career Prospects: There is a severe scarcity of workers in these positions [today]. There are a lot of products where we try to use language to talk to machines, but language is really hard. Because of this, people with the right skills can expect to make more than average and have a better job outlook for the foreseeable future. People who are good at natural language processing make an average of $107,641 annually.
User Experience(UX)
User experience (UX) jobs involve working with products that use AI to ensure that people understand how they work and can use them easily. Even though Edmunds points out that these jobs exist outside of the AI field, the growing use of AI in technology has made it more important for UX specialists to be trained in this area.
Responsibilities: In general, user experience professionals are in charge of understanding how humans use equipment and, as a result, how computer scientists may use that information to create more advanced software. In terms of AI, it may be part of a UX specialist’s job to figure out how people use these tools so that they can make new features that meet people’s needs better in the future.
Career Prospects: The job prospects for user experience designers are very good. The normal wage for a UX designer is $76,440 per year, but the best ones make more than $100,000 per year. By 2022, the number of jobs in this industry is expected to grow by 22.1%. This means that people with the right training and experience will have more opportunities.
Data Analytics
Since information is at the heart of how AI and machine learning work, people who have been trained to manage it well have a lot of chances to do well in the field. Even though data science is a big field, Edmunds says that data analysts play one of the most important roles in how AI works.
Responsibilities: Data analysts must have a comprehensive understanding of data, including the methods of managing, analyzing, and preserving it, and the skills required to explain findings effectively through visualization. It’s one thing to have the data, but it’s very important to be able to report on it.
Career Prospects: The job prospects for data analysts are good. The average salary for these jobs is $61,307.