The artificial intelligence (AI) field is booming with job opportunities this year due to rapid technological advancements. The Bureau of Labor Statistics estimates that the demand for AI and machine learning experts will grow by 21% through 2031. This growth comes from AI being used in various sectors like healthcare, finance, marketing, and more.
AI’s development has opened up many job opportunities that need specific skills, such as knowing how to program in Python, understanding machine learning algorithms, and doing data analysis. But you don’t always need a degree for these jobs. Many employers value practical experience and the ability to adapt quickly in the ever-changing AI world. Are you ready to level up or adapt to the AI revolution?
10 Entry-Level AI Jobs That Do Not Require a Degree
Believe it or not, many AI jobs don’t need a full degree. If you’re looking for entry-level positions, there are plenty of roles available if you’re adaptable and willing to learn. Here are ten examples of entry-level AI jobs that don’t require a degree, along with expanded information on responsibilities, why you don’t need a degree for each role, and average salaries:
1. Junior Data Analyst
As a Junior Data Analyst, you’ll collect and analyze large sets of data, make reports, and create visual displays to help businesses make decisions. You’ll also find trends and patterns in the data. You can learn the needed skills, like using SQL and Excel, through online courses, tutorials, and practice. Many of these tools are easy to use and have lots of help available online.
Average Salary: $55,000 – $65,000 per year.
2. AI Research Assistant
An AI Research Assistant helps senior researchers with experiments and data collection. You’ll write down research findings, prepare reports, and review recent AI studies. Basic programming and understanding AI concepts can be learned online for free or cheaply. Hands-on experience from internships or volunteer projects is also valuable.
Average Salary: $50,000 – $60,000 per year.
3. Machine Learning Intern
As a Machine Learning Intern, you’ll help develop and test machine learning models, clean and process data, and tweak algorithms under guidance. Online courses and tutorials make it easy to learn machine learning. Libraries like scikit-learn and TensorFlow have great documentation and community support.
Average Salary: $40,000 – $50,000 per year.
4. Data Labeler/Annotator
A Data Labeler/Annotator tags and labels data to train AI models, making sure the data is accurate and consistent. You’ll work with data scientists to improve the process. This job mainly requires attention to detail and following instructions, which you can get better at with practice. Companies often provide training.
Average Salary: $35,000 – $45,000 per year.
5. Junior Python Developer
As a Junior Python Developer, you’ll write and maintain code for AI applications, help development teams, and fix software bugs. Python is simple and easy to learn, with many free resources, coding bootcamps, and community forums available.
Average Salary: $60,000 – $70,000 per year.
6. AI Product Tester
An AI Product Tester tests AI products to make sure they work right, finds and reports bugs, and gives feedback on the user experience. Basics of AI and strong analytical skills can be learned through online courses and practice. Self-study and internships can help you gain experience with testing tools.
Average Salary: $45,000 – $55,000 per year.
7. Technical Support Specialist
As a Technical Support Specialist, you’ll help customers with AI software, troubleshoot issues, and guide them through setups. This job focuses on customer service and technical knowledge, both of which you can gain from training programs and practical experience. Many companies offer product-specific training.
Average Salary: $50,000 – $60,000 per year.
8. AI Content Writer
An AI Content Writer creates articles, tutorials, and guides about AI technologies, explaining complex ideas in simple terms. You need strong writing skills and a good grasp of AI, which you can develop through practice and self-study. Writing experience from personal blogs or freelance work can show your ability to communicate clearly.
Average Salary: $40,000 – $50,000 per year.
9. Junior Data Engineer
As a Junior Data Engineer, you’ll help design and maintain data pipelines, manage data storage, and ensure everything runs smoothly. You can learn about ETL processes, SQL, and Python through online courses and hands-on projects. Many parts of this job involve problem-solving skills that you can develop outside of a classroom.
Average Salary: $60,000 – $70,000 per year.
10. AI Sales Representative
An AI Sales Representative sells AI solutions, understands client needs, and presents products effectively. You’ll build relationships with clients to drive sales. Understanding AI products and having strong communication skills can be developed through training and practical experience. Sales skills often come from real-world interactions and mentorship.
Average Salary: $55,000 – $65,000 per year.
These roles show that you can start a career in AI without needing a formal degree. With the right skills and a desire to learn, you can land an entry-level position or even an AI engineer in this exciting field.
Can You Become an AI Engineer Without a Degree?
Yes, you can become an AI engineer without a degree. Here’s how:
- Self-Education and Certifications: Use online resources like Coursera, edX, and Udacity, which offer great courses in AI and machine learning taught by experts. Obtain certifications from well-known organizations, such as Google’s Machine Learning Crash Course or IBM’s AI Engineering Professional Certificate.
- Project-Based Learning and Open Source Contributions: Work on real-world projects to gain hands-on experience. Contribute to open-source AI projects on platforms like GitHub to share your work and collaborate with others, gaining both experience and recognition.
- Networking and Staying Updated: Connect with AI professionals for guidance and job referrals. Keep up with the latest in AI by following industry leaders, joining AI forums, and reading current research and news.
How to Apply for a Job in AI
Applying for a job in AI without a degree might seem tough, but it’s definitely possible with the right approach.
First, build your skills by taking online courses and tutorials on AI and machine learning. Focus on learning Python, SQL, and tools like TensorFlow and scikit-learn.
Next, create a portfolio by working on personal or open-source projects to show off your skills. Look for internships, volunteer jobs, or freelance work to get real-world experience, as hands-on practice is often more valuable than formal education. Networking is key, so join AI groups, attend meetups, and connect with professionals to uncover job opportunities and gain insights. A mentor can also provide helpful guidance.
Lastly, make sure your resume and cover letter highlight your relevant skills and experiences, and prepare for interviews by practicing common questions and explaining your projects clearly. Following these steps will allow you to apply for AI jobs without requiring a traditional degree.