The artificial intelligence industry quickly became popular with job seekers around the world. People spend days hunched over complex textbooks. All to get a chance to work at OpenAI and similar research facilities. They want to become a part of an exciting field and take this technology even further. But getting into this sphere isn’t easy because of AI’s complex nature.
All candidates for jobs in the AI sector must have a bachelor’s degree in one of the related disciplines. These include math, physics, robotics, engineering, computer program coding, and science. Understanding the intricacies of AI programming takes years. But there are entry-level jobs you can apply for to get a foothold in this industry.
Junior Data Analyst
People who apply for this position work with data used for AI learning models. They must find and structure information that helps develop artificial intelligence algorithms. It’s later examined by their superiors and added to the relevant databases. For example, AI may use it to suggest “pay to research paper writing service” platforms or streaming services. It makes similar requests more relevant.
Gathering information is the basis of artificial intelligence tech. But it’s accessible enough for anyone to try. Analysts mostly work with basic tools like SQL and Excel. These programs help identify which information is most helpful in AI training. This data can help in many sectors of tech. For example, to generate more accurate images on platforms like Hotpot and Canva.
Or, it may help ChatGPT and other similar platforms provide more accurate results. Becoming a junior data analyst requires a lot of work. You need a bachelor’s degree in computer programming, statistics, or other disciplines. Candidates must have mathematical and analytical skills. Depending on where they work, their yearly income ranges between $55,926 – $75,522.
Machine Learning Engineer
Students who want to get into the AI field should check out vacancies for machine learning engineers. These specialists are vital for successful AI projects. They use the information procured by data analysts in AI training models. The efficiency of their work influences how well these algorithms understand provided data.
Additionally, these professionals are responsible for using the databases in training AI models. This makes AI output more efficient and accurate. It’s done through using the right training methods and tuning them for the best results. Machine learning engineers work closely with other departments. These include data scientists and software engineers. Together they ensure smooth integration of learning models.
This position will suit students with higher credentials. Even entry-level vacancies demand a master’s degree in computer science or even a Ph.d. in a related discipline. Being a machine learning engineer requires advanced skills in data analysis and mathematics. But, this pays off with an average $152,309 annual salary.
Information System Analyst
In broad terms, information system analysts manage the IT systems of organizations. Such people design, analyze, install, and maintain solutions for the IT framework. The same approach roughly applies to artificial intelligence processes. In this sphere, information system analysts perform the following duties:
- Designing the architecture of AI systems in their software and hardware aspects.
- Ensuring that the framework can process the volumes of data needed for AI algorithms.
- Managing data storage, integrity, and security to keep it safe from hackers.
- Working with data analysts to establish data for AI training models.
To put it simply, information system analysts ensure that the AI tools work as intended and don’t break down. This includes providing user tech support and solving issues. A degree in information systems and computer science is a must.
Otherwise, your chances of getting a job interview are pretty slim. The median salary in this sector is $85,806, but it may be beneficial to apply for an internship first.
AI Automation Engineer
Students with the right qualifications should check out vacancies for AI automation engineers. These specialists are responsible for creating and introducing automated solutions for AI tools. Their work ensures that the various processes work right. This includes developing tools that automatically collect, process, and analyze data.
More experienced engineers teach machines how to use data to learn by themselves. It’s also their job to ensure that all solutions perform their functions based on set parameters. They work closely with other AI professionals. All to ensure that all processes work together without conflicts or errors.
AI automation engineers need experience in machine learning, data analysis, and software engineering. Not to mention a degree in a related field. People studying for these degrees have a big chance of being accepted by recruiters. The job pays well, with salaries from $89,809 to $103,991. Of course, students will be looking at the lower end of this range.
Software Engineer
This job may be the easiest to get into for students. Such specialists work hand-in-hand with mid and senior-level software engineers. Together they develop, test, and update software applications. Entry-level applicants mostly deal with routine tasks to get familiar with the code used in the AI structure. This gives them time to work on their programming skills.
In time, you can get enough experience to move to middle and senior roles. In the AI industry, software engineers work on various artificial intelligence systems. It’s their job to make the tools maintainable, secure, and upgradable. Software engineers work with data scientists and AI automation engineers.
Recruiters favor candidates pursuing degrees in computer science, computer engineering, and software engineering. Knowledge of programming languages, including C++, Java, and Python, is essential. There are many places offering internships and entry-level jobs in this discipline. If successful, students may earn an average of $110,140 annually.
Final Thoughts
Of course, the AI industry has more positions for experienced programmers. But, even these specialties are enough for students to get involved in working on artificial intelligence. Each of these openings requires degrees related to computer science. Check out the job listings on LinkedIn and other platforms to find positions and internships for your level of expertise.
