What Are Entry Level AI Jobs? [+ Outlook, Career Growth & Salary Explained]

In the realm of ai jobs entry level, artificial intelligence is a field that I find both lucrative and fast-paced, with significant job growth. In fact, I’ve noticed that positions related to AI and machine learning have grown by almost 75% within the last four years. This growth in ai jobs entry level makes it an ideal time for me to consider a job in artificial intelligence if I haven’t already.

What stands out to me is that employers and hiring managers are seeking skilled professionals who have honed their AI skills and can bring a wealth of knowledge and experience to the table, particularly in ai jobs entry level. One way for me to achieve this is through an entry-level AI position, which is a great starting point in the field of ai jobs entry level.

We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.

AI Industry Overview — A Brief Snapshot

I’ve come to realize that artificial intelligence, including ai jobs entry level, has informed practically every type of industry, from healthcare and education to marketing, retail, eCommerce, and financial services.

Here are some important numbers I keep in mind: The number of artificial intelligence companies in the United States has doubled since 2017, highlighting the growth in ai jobs entry level. As of 2022, there were almost 14,000 AI startups in the U.S. The AI market is expected to grow from $515.31 billion in 2023 to $2,025.12 billion by 2030, indicating a promising future for ai jobs entry level.

Career Outlook for Entry-Level AI Jobs

The job outlook for all types of AI jobs, including ai jobs entry level, is extremely promising. According to Infosec, “the Bureau of Labor Statistics projects a 15% increase in computer and information research jobs from 2019-2029, including positions like AI specialists and machine learning engineers,” which is great news for those seeking ai jobs entry level.

Now, let’s explore some common entry-level AI positions that can set me up for success in this exciting, innovative field. I note that salary ranges for ai jobs entry level will depend on a number of factors, including the position itself, location, and required education; they will often fluctuate in real-time due to changing data.

7 Common Entry-Level AI Jobs

1. Research Assistant

As a research assistant in the artificial intelligence and machine learning sectors, I find it a great way to learn valuable skills and gain much-needed experience. I may work at an academic institution or in a particular industry and am often responsible for assisting with AI- and machine learning-related research projects.

My responsibilities might include helping build the research community, contributing directly to a research program, using machine learning approaches like natural language processing, applying basic statistical knowledge, providing research support for ongoing projects, and maintaining project databases.

I need to have excellent communication skills and basic computer programming skills, with proficiency in coding and data science, competency in at least one ML framework, experience with Python, a strong interest in AI/ML, and the ability to work on a team.

The average salary for this position, with a year or less of experience, is $74,187, with an additional $14,058 in commission, bonuses, etc., totaling a complete salary package of $88,245. Education requirements vary, with some positions requiring an associate or bachelor’s degree in a related field, while others may require a master’s degree or Ph.D.

2. Junior Data Analyst

In my role as a junior data analyst, I translate numbers and data into words and graphic visualizations to help businesses and organizations make more informed decisions. This junior position typically requires fewer hard skills and experience than a mid-level or senior data analyst.

My responsibilities may include collecting and interpreting relevant data, using tools and algorithms to help organizations understand different types of data, writing reports, and creating relevant charts and graphics. The average salary for a junior data analyst is around $59,197, with a range anywhere from $42,000 to $82,000. In most cases, a bachelor’s degree in statistics, computer programming, economics, accounting, or a related field is required, and some positions may require a master’s degree.

3. Junior Software Engineer

As a junior software engineer, I develop software and systems for businesses and organizations and work with users to understand their software needs. My responsibilities may include helping mid- to senior-level engineers on projects, writing simple code, debugging existing software, and assisting other team members.

The average salary for this position is around $77,904, with entry-level junior software engineers earning about $59,000. A bachelor’s degree in computer science, software engineering, or a related discipline is recommended, and many employers also prefer candidates with programming language proficiency.

4. Information Systems Analyst

An entry-level Information Systems Analyst position is a good way for me to obtain necessary IT and cybersecurity experience and knowledge. In this position, I help develop best practices, monitor security issues, track any problems or breaches, install software, perform routine operational support, maintenance, and system configuration, identify and resolve data and system issues of low complexity, participate in the development, validation, and execution of test plans, provide priority level one support for business systems, participate in testing of new software releases or upgrades, support system maintenance and upgrades throughout the product lifecycle, identify and

document defects and enhancements, and more. For an entry-level position, I can expect a starting salary of around $55,492, with those having 1–4 years of experience earning about $60,938. In most cases, a bachelor’s degree in computer science, information technology, information systems, or a related field is required.

5. Junior Programmer

As a junior programmer, I find that programmers in artificial intelligence are in high demand. This position allows me to gain experience in programming skills, which are often required for other types of related jobs, setting me up for success in other AI career paths. My responsibilities include providing computer hardware maintenance, debugging software, writing programming guidelines, and developing and maintaining applications and databases. The average salary for this position is $53,282, with a range between $47,586 and $59,478. A bachelor’s degree in computer science or a related field is usually required, in addition to knowledge and skills in software debugging, software design, and programming languages.

6. Junior or Associate Data Scientist

Data science is an immersive, innovative, and constantly expanding field that includes multiple subdisciplines such as data analytics, data mining, artificial intelligence, and machine learning. As a junior or associate data scientist, my typical responsibilities include using data to create an impact for businesses and organizations by understanding a particular problem or challenge, engaging in data modeling and visualization, conducting exploratory analysis, developing analytic models and products, applying methods for analysis requests, working with other team members to research and develop tools and techniques to train and test machine learning algorithms, designing, building, modifying, and implementing software applications that apply machine learning methods, using machine learning techniques to perform data analysis, and more.

The average salary for both an associate data scientist and junior data scientist is $92,560, with a range between $81,180 and $102,042. In this position, I will likely need a minimum of a bachelor’s degree in data science, computer science, or a related field, with many jobs in this field requiring an advanced degree.

7. Junior Software Developer

In this entry-level position as a junior software developer, I am typically asked to help write code and create different software designs. Additional responsibilities may include fixing bugs and collecting user data. This role could easily lend itself to experience for an artificial intelligence developer position, which is ideal for those interested in AI, algorithms, and computer programming. The average salary for this position is $75,984, with the range falling between $69,435 and $83,368. A bachelor’s degree in computer science is typically required, and basic programming experience is strongly recommended.

How to Gain Experience for Entry-Level Positions

I’ve probably noticed that even though these are ai jobs entry level, many require or highly recommend some type of prior experience or knowledge. The good news is that there are a variety of ways to get there: Master’s degree programs in either artificial intelligence or data science can prepare me with the right tools, knowledge, and experience to handle any ai jobs entry level, plus they often come with numerous networking opportunities.

AI bootcamps can be a fulfilling experience for anyone looking to gain knowledge and experience with experts in the field, and they can also be beneficial to students who are interested in a master’s degree by prepping them for a rigorous curriculum. Internships are another great way to gain experience, as a recent search for AI internships on LinkedIn revealed thousands of results, meaning organizations and companies are looking for motivated individuals who are interested in starting a career in ai jobs entry level.

If I’m interested in starting my career in ai jobs entry level, I might consider the University of San Diego’s Master of Science in Applied Artificial Intelligence. This innovative online program is an ideal way to obtain the experience and knowledge needed for many entry-level positions. If I’m interested in learning more, I can reach out to one of their enrollment advisors.

AI Jobs Entry Level: Best Tips for Success

Embarking on a career in artificial intelligence at the entry level can be both exciting and challenging. Here are some tips to help you succeed in securing and excelling in ai jobs entry level:

1. Build a Strong Foundation: Focus on acquiring a solid understanding of core AI concepts, such as machine learning, natural language processing, and neural networks. Online courses, tutorials, and books can be great resources for self-learning.
2. Develop Technical Skills: Proficiency in programming languages like Python, R, and Java is crucial for ai jobs entry level. Additionally, familiarize yourself with AI frameworks and tools such as TensorFlow, PyTorch, and Keras.
3. Work on Projects: Hands-on experience is invaluable. Work on personal or open-source projects to apply your knowledge and showcase your skills. This will also help you build a portfolio that can impress potential employers.
4. Stay Updated: AI is a rapidly evolving field. Keep yourself updated with the latest trends, technologies, and research by following AI blogs, attending webinars, and participating in online forums.
5. Network: Connect with professionals in the field through LinkedIn, AI conferences, and meetups. Networking can provide you with insights into the industry and open up opportunities for internships or jobs.
6. Seek Internships: Internships offer a great way to gain real-world experience and make connections in the industry. Look for internships in companies or research labs that align with your interests.
7. Highlight Relevant Skills: When applying for ai jobs entry level, tailor your resume and cover letter to highlight your AI-related skills, projects, and any relevant coursework or certifications.
8. Prepare for Interviews: Familiarize yourself with common AI interview questions and practice problem-solving and coding challenges. Demonstrating your ability to think critically and solve complex problems is key in interviews.
9. Consider Further Education: Depending on your career goals, pursuing a master’s degree or specialized certifications in AI can enhance your knowledge and make you more competitive in the job market.
10. Show Enthusiasm and Willingness to Learn: Employers value candidates who are passionate about AI and eager to learn and adapt. Express your enthusiasm and openness to learning new technologies and approaches.

By following these tips, you can increase your chances of success in securing ai jobs entry level and building a rewarding career in the field of artificial intelligence.

We strongly recommend that you check out our guide on how to take advantage of AI in today’s passive income economy.