rtificial intelligence represents more than an idea now in the job market and has a technological power that can rephrase how people do their jobs.
Artificial intelligence technology has unlimited power in decision-making, pattern recognition, and language processing, and has become a standard in various businesses along with their strategies.
Currently, AI integration in various industries is developing very quickly. According to a recent PwC study, the COVID-19 pandemic has managed to accelerate the adoption of AI in strategies as about 52% of companies have already integrated various AI technologies, and 86% have identified AI as a crucial component in their everyday business operations.
In every business, artificial intelligence technology is capable of influencing product and service development, enhancing some of the corporate values along providing easy and simple solutions to complex supply chain problems. AI in businesses can also have an important function in the startup ecosystem and provide various companies with tools to handle the disturbances.
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What Does it Mean to Be an AI Professional?
Because AI development represents a technology that is growing gradually every day, the industry is looking for professionals who specialize in AI. The AI professional field is filled with various career opportunities, and many AI professionals can take over different roles and responsibilities.
The demand for specialized AI professionals is almost in every industry such as healthcare, technology, media, marketing, gaming, and many others.
It should be mentioned that if you are looking to become a professional in the artificial intelligence field, it’s important to have some skills that can make you stand out among others in your field. So, there are various programming languages that every AI professional should know such as Python, C/C++, or MATLAB.
Besides these programming languages, there are also other 5 skills required for an AI career like communications skills, digital marketing goals or strategies, and some analytical skills.
What Factors Are Influencing AI Job Salaries?
Several factors influence the AI salary, making them inconsistent based on location, industry, skill level, or even experience. Here’s a more in-depth look at the most important factors that manage to affect the AI job salary.
- The Experience Level
For those who are just starting their career in the AI field, the AI job salary might be a little bit lower due to the lack of experience, but they are still significantly higher compared to other industries. Some entry-level positions include the role of machine learning engineers, AI developers, or data salaries.
In the case where a professional has between 3-5 years of experience, there will be some salary increases according to the gained expertise in different areas like natural language processing known as NLP, computer vision, or deep learning.
The seniors with more than 5 years of experience usually have leadership roles such as AI architects or heads of AI, and their salaries match their level of experience.
- The Location
Many regions such as the U.S. including Silicon Valley and New York, tend to offer some of the highest job salaries because of the great demand from tech giants and startups.
Things in Europe are a little bit different, and the AI salary tends to be a little bit lower compared with the U.S. in various cities such as London, Berlin, or Zurich, but they still earn ambitious incomes.
As regards remote work, location flexibility has a significant impact on the salary ranges. Some companies are willing to offer a competitive AI salary regardless of the actual location of the professional, but others are adjusting their offer based on the average cost of living in that region.
- The Industry
In the finance and mankind field, AI professionals are often working with AI-driven risk management systems, fraud detection, or algorithmic trading. Because of this requirement, banks and financial institutions are willing to pay a little bit more for a professional skilled in this field.
In Healthcare and Biotechnology, artificial intelligence technology is based more on drug discovery, medical imaging, and personalized medicine. In this case, healthcare companies can offer some attractive salaries for talented AI professionals. Even though the AI job salary here is not as high as in the finance field, it’s important to keep in mind that artificial intelligence is in a continuous development process for healthcare improvement.
In robotics, those who are working directly with advanced manufacturing systems, and machine learning applications tend to have a more competitive and attractive AI salary.
AI Job Salary Ranges
- Machine Learning Engineer - AI ML Salaries
An ML engineer is capable of creating algorithms and models to analyze huge datasets in order to make some predictions. The machine learning job includes designing, creating developing, and implementing these algorithms of the ML models. According to the American job website Glassdoor, the average annual AI ML job salary ranges in the U.S. between $99k and $149k.
- Artificial Intelligence Engineer- AI Engineer Salaries
The Artificial intelligence engineer should know how to handle the recent AI infrastructure and to test or apply the AI algorithms that are crucial to meet the highest demands from users and clients. According to several survey reports including the Glassdoor one, professionals with 1-2 years of experience can expect to have a base salary between $110k and $120k.
- Business AI Developer Salaries
This job is usually required to analyze complex data sets in order to identify business and market trends. So, the professional who is focusing on business AI development will optimize many business processes with analytical and Bi-centric abilities. Several reports are claiming that professionals in this field can expect to have earnings of around $100k.
- Research Scientist Salaries
This field includes professionals who are experts in machine learning, applied math, deep learning processes, or computational statistics. In most cases, professionals who are looking to work in this field must have besides a vast experience, a degree in computer science or an advanced degree in one of the related fields. So, due to their expertise and advanced knowledge, the researchers and scientists have a salary of around $150K.
- Data Scientist Salaries
The professionals in this field focus on collecting, analyzing, and interpreting various data sets. In most cases, they have capabilities in communication that are required to be able to interact with profit-oriented results from the business perspective. Besides these capabilities, data scientists must know formal and informal programming codes such as SQL, Scala, or Python to have a better understanding of complex AI tasks. The salary is equivalent to the programming skills and can reach $150k.
- Big Data Engineer Salaries
The Big Data engineer must know very well how to develop and maintain big data architectures that can secure outcomes that are business-oriented. So, they are focusing on developing systems for businesses to communicate and also collect data. These engineers must have the capability to manage complex problems and tasks and must know how to operate with languages such as Java, SQL, Hadoop, or Kafka. So, according to several reports, the salary for a Big Data Engineer is around $140k.
- Robotics Scientist Salaries
Robotics professionals have become more popular in the AI job field. This is happening because they are capable of designing operating systems and also testing some of the cost functions related to robot building. So, they have the responsibility to make sure that the robots are performing well safely, and cost-efficiently. Those professionals who are looking forward to starting a career in this field must have a Bachelor’s Degree in Robotics, Computer Science, Engineering, or other related industry. And for a Robotics Scientist, the AI salary is usually somewhere between $60k and $70k.
- Computer Vision Engineer Salaries
This position represents the intersection of machine learning and AI. Those Computer Vision Engineers, focus on developing and working on different projects or systems that involve visual data processing. In addition, the CV engineers have an input in the decision-making process through visuals. According to several reports, a Computer Vision Engineer can expect a salary between $120k and $130k.
- Deep Learning Engineer Salaries
Deep learning engineers are using different methods to provide computer algorithms to make sure that computers can learn from massive amounts of data. Professionals in this field usually develop and execute various neural networks along with other deep learning algorithms in collaboration with data scientists. The average salary for a deep-learning engineer is between $140k and $150k. 10. Natural Language Processing Engineer SalariesThe professionals in this field usually specialize in natural language processing, known as NLP, and use tools such as speech recognition to help computers have a better understanding and interpret human discourse. NLP engineers focus on taking unstructured speech to turn it into something that computers can easily understand. To achieve this, they are a strong collaboration with other engineers to create the best systems that will understand the human voice and text. According to some reports, the average salary of the natural language processing engineer is between $80k and $90k. We’ve also seen some NLP Salaries go way above $100k
Prepare For Your Next Job In The AI Industry
The AI field is now in a continuously growing process, and related to it, the demand for talented and skilled engineers is increasing. It’s important to know that even if you are just starting or you already have a high level of experience and education, the AI industry is developing more and more jobs with different experience levels.
It’s important to follow the latest trends and developments that appear in the field, to be sure that your skills are suitable for any AI job. Also, all attendings must understand that following these factors they can experience a better position in the market to maximize the salary potential.
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