Decision-making, issue-solving, speech recognition, content development, language translation, and many other business integrations are all made possible by artificial intelligence, which allows computers to simulate human intelligence.
Artificial intelligence (AI) has improved thanks to recent technological developments. Improvements in efficiency, originality, speed of decision-making, and customer service are just a few ways AI is used in today’s businesses. Data collecting is a tedious process that can be automated using AI to free up time for workers to devote to more valuable endeavors.
As a result of these substantial advantages, an increasing number of businesses worldwide are embracing and implementing AI strategies. Because of this, there is a significant need for trained AI specialists.
The computer and information technology field (including AI occupations) is expected to grow by 15% between 2021 and 2031, according to the U.S. Bureau of Labor Statistics (BLS).
Professionals in artificial intelligence (AI) are in high demand across industries, from manufacturing and marketing to finance and healthcare, to aid in creating and implementing AI systems, run tests, develop instructions and diagnose and repair software.
Refrain from fretting if you are a highly motivated person who does not possess a technical degree. Even if you don’t have a bachelor’s or master’s degree, you can still find work in artificial intelligence (AI).
You can get the knowledge and expertise you need to succeed in your chosen field by combining classroom instruction from boot camps, certificates, or associate’s degrees with work experience gained through freelance gigs. It’s an excellent method to build a foundation for a future career in AI while still in school.
Freelancing, contracting, and contract-to-hire work in AI can be excellent opportunities to learn and grow in the field. Many job postings on sites like Upwork are for one-off projects, allowing you to gain experience in various areas and technologies while building your portfolio.
By taking on successive freelance jobs, you can improve your abilities, earn more money, and move closer to your AI career ambitions.
You’ve found the correct spot, whether you’re new to the field of artificial intelligence or a seasoned professional seeking a higher-paying position. The top 2023 AI occupations are listed below.
1. Machine learning technician
An AI expert, a machine learning engineer investigates, creates, and implements AI models and systems. This professional uses large datasets to train models and neural networks to do tasks like accurate prediction, pattern and picture recognition, product recommendation, and malware detection. An ML engineer will also do statistical tests and use the results to make their AI models more effective.
A Bachelor’s degree is required, preferably in software engineering, computer science, data science, or a closely related discipline. A master’s degree in AI or a certificate in machine learning may be desirable qualifications for some positions.
Employment for computer and information research scientists with expertise in machine learning is projected to increase by 21% from 2021 to 2031.
Annual salary average: $109,265
2. Data Scientist
A data scientist’s job is summed up by the term “scientist,” which means they “study” or “study up on” data. This expert also does statistical analysis and evaluates the findings to glean actionable insights for businesses. To make data more accessible to a wide range of audiences, data scientists employ a variety of visual representations. They are also involved in developing algorithms and models for machine learning and prediction.
The annual wage is, on average, $104,090.
You may discover clients and data science jobs on Upwork as a data scientist.
3. AI Research Specialist
Through research, experimentation, and recommendations, a researcher in artificial intelligence (AI) aids in developing AI systems. An AI research scientist collaborates with data scientists to acquire data, train models, and record findings.
Artificial intelligence research, a subset of computer and information research experts, is projected to grow by 21% between 2021 and 2031.
Annual pay Average: $92,677
4. Consultant ethical issues in AI
To uncover prejudice and other implications, the consultant conducts ethical impact evaluations. This person also works with the legal department and advises other team members on ethical implications and considerations.
Future employment forecasts for AI ethics consultants are currently unavailable; nonetheless, the field of AI ethics is attracting increasing amounts of both attention and investment. The future seems bright for AI ethics consultants, thanks to this trend. J
Annual income on average: $101,540
5. Robotics Engineer
An engineer specializing in robotics creates and evaluates prototypes of robots. This expert also makes sure all the robots are working correctly. When issues emerge, a robotics engineer investigates the cause and finds a solution.
Other responsibilities include:
- Documenting the development process.
- Offering technical assistance to colleagues.
- Contributing to the estimation of project costs.
As a supervisor, a robotics engineer ensures that other technicians do their jobs properly.
This field calls for a bachelor’s degree in robotics engineering, computer science, mechanical engineering, or a closely related lot.
Employment in mechanical engineers, of which robotics engineering is a subset, is projected to increase by 2% from 2021 to 2031.
Annualized compensation averages $86,521.
6. AI Product Manager
Managers of AI products are involved in every phase of production, from early planning to final sales. They study market tendencies in a variety of sectors to spot opportunities. Experts then decide if and how machine learning and AI can resolve issues.
They also create and share a product vision with the rest of the team. A product manager’s duties include managing a product roadmap, collaborating with professionals on product development, aiding in product launch, and ensuring proper use.
Qualifications include a four-year undergraduate degree in business, data science, IT, CS, MM, PM, or a similar profession.
Job growth: While data on AI product manager jobs has yet to be available, product management is expanding and changing rapidly in response to new technologies. The need for product managers with experience in AI is expected to increase as the technology advances.
Professionals need a wide range of technical and practical abilities to succeed in artificial intelligence.
Professionals working in AI also require the ability to think critically and solve problems. These professionals benefit significantly from analytical and communication abilities and other soft skills necessary for interacting with clients and teams. In addition, those working in artificial intelligence need excellent skills in detail orientation, time management, and teamwork.
Artificial intelligence is gaining traction as its advantages become apparent. Many businesses are considering implementing AI to increase innovation and output.
Now could be an excellent moment to pursue an AI-related field because of the growing need for qualified people in the area and the attractive salary and stability of the industry. However, you should be aware that it is a complex task. Gaining the necessary experience and education can take some time.