Jobs in AI

jobs in AI

Artificial intelligence or AI encompasses a range of disciplines dedicated to creating machines and systems capable of information processing and activities that resemble human beings’ capabilities. Key to the operation of artificial or machine intelligence is data, and the ease or otherwise with which it can be processed.

With advances in big data handling and tools capable of performing complex analytics, artificial intelligence is finding applications in many sectors, each with their own unique requirements. Programs and techniques are being developed to streamline processes, boost efficiency, and enhance user or customer relations in virtually every industry — and job roles in artificial intelligence are being filled or created to meet this demand.

Some analysts expect jobs in artificial intelligence and machine learning to hit the 58 million mark by 2022. With few candidates specifically trained for AI jobs in the current market, AI jobs salary levels are uniformly high. And for those with the skills needed to work in this niche area, some of the best artificial intelligence jobs pay very highly indeed.

artificial intellligence jobs

So, what jobs are there in artificial intelligence? That’s what we’ll be looking at in this article.

Jobs in AI

There are several types of jobs in artificial intelligence, and as the sector evolves and industries develop new use cases, new artificial intelligence jobs and corporate roles are being created.

The current range of jobs in artificial intelligence includes the following:

Artificial Intelligence Engineer (AI Engineer)

With one of the most prominent job roles in the AI industry today, the artificial intelligence engineer has responsibility for researching appropriate machine learning algorithms, selecting suitable data sets and data representation techniques, transforming data science prototypes into workable models, developing machine learning applications, working closely with electrical engineers and robotics teams, training systems when required, and running tests.

Computer Science and Artificial Intelligence Researcher

The remit of computer science and artificial intelligence researchers varies widely, depending on their area of specialization or the particular field of research of the AI scientist. In general, however, it involves discovering ways to advance AI technology — whether through its data systems and software or by overseeing the ethics and accountability associated with creating these tools.

Jobs in AI: Data Analyst

As we have observed, data analytics plays a significant role in designing and implementing artificial intelligence, and data analysts are an important part of the AI ecosystem.

Data analysts must have a solid understanding of the data involved in their remit, including its management, analysis, and storage. They must also be able to communicate the findings of their analysis through visualization effectively.

Machine Learning Engineer (ML Engineer)

A machine learning engineer must have a thorough understanding of ML — the construction and management of intelligent systems that use algorithms to learn from experience, and machine intelligence, whereby machines learn from experience based on false algorithms. This is a more evolved form of machine learning, with improved cognitive abilities.

Besides the kind of machine learning that leads to new capabilities, professionals in this area may also specialize in neural networks, deep learning, or Natural Language Processing (NLP). Other machine learning jobs involve research and software development.

Natural Language Processing (NLP) Expert

Natural Language Processing or NLP professionals must possess the language and technology skills necessary for assisting in the creation of systems that enable computers to communicate with humans successfully. There are many such applications, including virtual assistants and chatbots, and the responsibilities of experts in this field will vary.

Jobs in AI: Software Engineer

Software engineers in the AI field must develop the technical functionality of products that use machine learning to carry out a variety of tasks. These are the programs and platforms on which artificial intelligence tools function, and suitable candidates should have computer science training with a concentration on artificial intelligence. Some sales jobs in artificial intelligence relate to the marketing of such AI products.

User Experience (UX) Specialist

User experience (UX) specialists are responsible for understanding how humans use and interact with systems and tools, and consequently, how computer scientists can apply that understanding to the production of more advanced AI software.

Salary for Jobs in AI

For September 2020, Indeed.com has published its assessment of artificial intelligence salary levels in the United States, based on estimates from 84,321 employees, users, and past and present job advertisements on the website within the past 36 months. The results may be summarized as follows:

AI engineer salary levels cover a range depending on the area of specialization. The average salary for “Artificial Intelligence Engineer” ranges from approximately $93,625 per year for R&D Engineer to $135,260 per year for Machine Learning Engineer.

Entry-level machine learning jobs start at around $39,000 annually, with a machine learning engineer salary averaging out at $145,417 per year.

AI jobs

A software engineer in the AI arena can expect to take home an average of $110,611 per year. Software engineer interns make around $80,001 per year, while a Senior Software Engineer earns around $132,210 per year.

AI researcher salary levels also cover a range. An AI research scientist earns around $102,000 per year, while a research engineer takes home $96,430 per year.

Data scientists currently earn about $122,588 per year.

Career Paths and Opportunities in AI

If you’re wondering how to get a jobs in AI, success in the field usually requires a bachelor’s degree in computer science or a related discipline such as mathematics. More senior positions may require a master’s degree or doctorate (Ph.D.). However, some high-profile employers like Apple and Google no longer consider having a college degree as a hard requirement.

In terms of formal training, many jobs in AI require candidates to have a working understanding of programming languages like R, Python, Java, and C++, and concepts such as data structures and classes. Individuals with multiple skill-sets are always in high demand, so it pays to learn more than one language.

For machine learning jobs, an understanding of statistics, linear algebra, calculus, and various mathematical models is essential for dealing effectively with the design and manipulation of algorithms.

Beyond academic and technical disciplines, good communication skills, a critical thinking facility, and some in-depth knowledge of the particular industry or vertical that you’re aiming for can tip the balance in your favor.

Future of Jobs in AI

It’s reckoned that nine out of ten Americans use AI services in one form or another every day, and that AI will create close to 2.3 million jobs this year (2020). Though AI is used in almost every industry, there’s currently a skills gap, with a huge need for qualified professionals with AI acumen and some familiarity with the AI requirements of particular sectors of the economy.

As we noted earlier, evolving technologies are creating new roles and the AI jobs of the future. Some of these emerging positions include:

  • Chief AI officer: Responsible for understanding how cognitive technologies impact the business, developing the organization’s AI strategy, and explaining it to stakeholders.
  • AI ethics officer: A high-level position covering risk and governance, and coordination with government agencies, non-profits, legal teams, users, privacy groups, and technology teams.
  • AI business analyst: An officer with technical knowledge who works with data scientists and data engineers in keeping AI deployment in line with business objectives and processes.

Summary:

Jobs in AI

Programs and techniques are being developed to streamline processes, boost efficiency, and enhance user or customer relations in virtually every industry — and job roles in artificial intelligence are being filled or created to meet this demand.Some analysts expect jobs in artificial intelligence and machine learning to hit the 58 million mark by 2022. With few candidates specifically trained for AI jobs in the current market, AI jobs salary levels are uniformly high. And for those with the skills needed to work in this niche area, some of the best artificial intelligence jobs pay very highly indeed. Jobs: Artificial Intelligence Engineer (AI Engineer), Computer Science and Artificial Intelligence Researcher, Data Analyst, Machine Learning Engineer (ML Engineer), Natural Language Processing (NLP) Expert, Software Engineer, User Experience (UX) Specialist.

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Terry Brown

Terry Brown

Terry is an experienced product management and marketing professional having worked for technology based companies for over 30 years, in different industries including; Telecoms, IT Service Management (ITSM), Managed Service Providers (MSP), Enterprise Security, Business Intelligence (BI) and Healthcare. He has extensive experience defining and driving marketing strategy to align and support the sales process. He is also a fan of craft beer and Lotus cars.