BusinessStudent.com is a degree site that has revealed the top artificial intelligence roles that are currently most in demand. The site also publishes business school reviews, showcases innovative degree programs and provides graduate students with tools and data.

Its current research shows that an increasing number of jobs are currently at risk due to automation, machine learning and AI. The research on the site says that currently only 15 percent of organizations are using AI, but that number will more than double by 2019.

With this, the emerging technologies that encompass AI will require a human element, and in the long-term, there will be more AI jobs that require a specific skillset. The site is emphasizing that those who enter the AI field now, or are currently in training, will enter a job market that is ripe with opportunities.

BusinessStudent.com has put together a list of the six best careers for the AI field today.

#1. Data Scientist

A data scientist follows numbers. This job would require a data scientist to analyze, visualize and model large amounts of data related to a product or service a company is selling. Additionally, they may also implement new machine learning models so that the business can make more effective decisions in a timely manner.

This job could be someone who is a scientist, statistician, machine learning expert or engineer. According to BusinessStudent.com, on average, a data scientist makes $105,000 and the top openings are in California, New York, Texas and Washington.

#2. Machine Learning Engineer

Machine learning engineers are computer programmers who program machines to perform specific tasks. They should have knowledge on software development methodology and all modern software development tools such as Eclipse and IntelliJ.

This field often encourages its applicants to have a master’s or doctoral degree in math or computer science, as well as have a strong background in programming languages such as Python, Java and Scala. According to the site, machine learning engineers are paid approximately $120,931, and their key industries are in aerospace, technology, manufacturing and finance.

#3. Software Developer

A software developer is the person who writes the software to support the development and deployment of machine learning and AI systems. These individuals usually have experience in writing complex and efficient code. On average, according to the site, they get paid $104,463, need a bachelor’s degree in computer science and their key industries are in telecommunications, law enforcement and healthcare.

#4. Robotics Scientist

Robotics scientists are the people who make products, such as Alexa and Roomba, come to life. These scientists go through years of development with a product to ensure the robot comes to fruition.

Usually, they have experience in engineering in either robotics or engineering, and must be able to write and improve computer programs. According to the site, these scientists are paid $88,900. The top areas with openings for this job include California, Massachusetts and Pennsylvania.

#5. Business Intelligence Developer

A business intelligence developer is essentially a data scientists, but instead they are focused on making data more comprehendible for businesses. These developers study and analyze data while looking for market trends. Additionally, they are often tasked with designing and maintaining cloud-based data storage systems. According to the site, they are paid, on average, $70,056 and need a bachelor’s degree in computer science, mathematics or statistics.

#6. AI Research Scientist

An AI research scientist specializes in AI subjects such as machine learning, applied mathematics and computational statistics. They are also responsible for applying both AI and machine learning in order to achieve different business goals. Employers usually want their AI research scientist to have a master’s or doctoral degree in computer science or a related field. According to the site, they are paid approximately $136,233 and their key industries are in aerospace, IT, pharmaceutical and manufacturing.

To see more in-depth explanations of each of the job descriptions above click here.