5 Entry-Level AI Jobs to Consider (Plus Key Skills and Tips to Break Into the Field) was originally published on The Muse, a great place to research companies and careers. Click here to search for great jobs and companies near you.
The artificial intelligence (AI) industry is revolutionizing nearly every sector, from healthcare to finance and tech. As AI technologies like machine learning, natural language processing, and generative AI reshape how businesses operate, there’s a growing demand for skilled professionals in the field. This includes plenty of entry-level AI jobs, which offer great opportunities for newcomers.
With the AI market projected to reach over $800 billion by 2030, with a compound annual growth rate (CAGR) of 26.6%, now is the perfect time to explore these roles.
Pros and cons of artificial intelligence jobs
Before diving into some of the best entry-level jobs in AI out there, you should consider whether working in this rapidly evolving field suits your career goals. Below, we unpack some benefits and challenges of jobs in artificial intelligence.
Pros of artificial intelligence jobs
- High demand: AI is one of the fastest-growing industries, with a constant need for skilled professionals. Many AI jobs come with high salaries and long-term growth potential.
- Cutting-edge innovation: Working in AI means being at the forefront of technology, and helping to solve complex problems in various fields like healthcare, robotics, and finance.
- Diverse career paths: Whether you’re interested in machine learning, data science, or AI ethics, there are a variety of AI-related roles to suit different skills and interests.
- Remote opportunities: A growing number of remote jobs in the AI industry allow professionals to work from anywhere in the world, contributing to global projects without geographical limitations.
Cons of AI jobs
- Steep learning curve: AI is a technically challenging field that requires continuous learning. New algorithms, models, and tools are constantly emerging, and staying updated is a must.
- High competition: As the AI industry grows, so does competition for high-paying roles, particularly in prestigious companies like Google, OpenAI, and Microsoft.
- Ethical dilemmas: AI’s impact on privacy, bias, and job displacement creates ethical challenges. Professionals working in AI jobs often need to balance innovation with social responsibility.
Skills and qualifications needed for AI jobs
To succeed in the AI industry, specific skills and qualifications are typically required, depending on the type of role you’re aiming for. Here are some of the most sought-after skills that you must acquire to land artificial intelligence jobs:
Programming languages
Proficiency in programming languages like Python, R, and Java is essential for most AI jobs, especially in roles like machine learning engineer or AI researcher. Python, in particular, is widely used in the AI community for building algorithms and processing large data sets.
Machine learning and deep learning
Understanding machine learning (ML) and deep learning techniques is crucial for those aiming to develop AI models. Familiarity with frameworks such as TensorFlow, PyTorch, or Keras will make you more likely to stand out when interviewing for AI jobs.
Data science
AI systems rely heavily on data, making data science a fundamental skill in the field. This includes the ability to analyze, clean, and model data to build AI algorithms. Even if you’re not on the programming side of jobs in AI (say you’re looking for an administrative position, for example), you must be able to communicate with data and make data-driven decisions.
Mathematics and statistics
Knowledge of mathematics, particularly linear algebra, calculus, and statistics, is a foundational skill for most AI-related roles, helping professionals understand and create the models that drive AI applications.
Cloud computing
Many AI systems are built and deployed in the cloud. Familiarity with cloud platforms such as AWS, Azure, and Google Cloud is important for roles that involve large-scale AI applications.
AI ethics
As AI’s influence grows, so does the importance of understanding the ethical implications of AI technologies. Professionals working in this field must be prepared to address challenges related to bias, fairness, and transparency.
Read this next: 10 In-Demand Generative AI Skills Right Now
Not technical? No problem! Operational jobs in AI are also important
In this industry, there are not only technical and development personnel. Other positions are equally indispensable in a company’s business development.
“People generally think that only skilled tech talents are qualified for tech companies,” says Eve Bai, who had an HR background before landing a non-technical job as an operations manager in the AI industry. “But in fact, the operation department is also necessary for a company’s day-to-day operations, from production and manufacturing to logistics and process improvement.”
5 entry-level AI jobs to consider
If you’re excited about what you just read, you may be ready to work your way into this innovative industry. There are several entry-level AI jobs for those just starting out. These are some of the best positions to consider if you’re new to the field.
1. AI research assistant
Average annual salary: $57,000 – $93,000
Estimate ease of entry: Moderate
AI research assistants work alongside senior researchers and data scientists, helping with algorithm development, data analysis, and report generation. This is an excellent role for those with a background in computer science or statistics, especially if you’re pursuing an advanced degree.
Find AI research assistant jobs on The Muse
2. Junior data analyst
Average annual salary: $69,000 – $107,000
Estimate ease of entry: Moderate
Data analysts play a key role in AI by cleaning, analyzing, and interpreting large data sets. They often work with data scientists and engineers to create models that inform AI systems. A solid understanding of statistics and proficiency in tools like Excel, SQL, and Python is necessary for this role.
Find junior data analyst jobs on The Muse
3. Junior machine learning engineer
Average annual salary: $124,000 – $207,000
Estimate ease of Entry: Difficult
Machine learning engineers are responsible for creating models that allow machines to learn from data. Junior machine learning engineers typically assist more experienced engineers by training models, tuning hyperparameters, and testing performance. This role requires a strong grasp of Python, ML frameworks, and algorithms.
Find junior machine learning engineer jobs on The Muse
4. AI project or product manager
Average annual salary: $119,000 – $203,000
Estimate ease of entry: Moderate
AI project and product managers work at the intersection of technology and business, overseeing the development of AI-powered products. They liaise between engineers, designers, and business leaders to ensure the product aligns with the company’s goals. A background in business and a basic understanding of AI technologies is beneficial for this role.
Find AI project manager and AI product manager jobs on The Muse
5. AI customer service
Average annual salary: $50,000 – $93,000
Estimate ease of entry: Easy to moderate
Customer service specialists help customers troubleshoot AI software and hardware issues. This is one of the most ideal entry-level artificial intelligence jobs for those with customer service skills and a general understanding of AI systems.
Find AI customer service jobs on The Muse
Bonus tips for breaking into the AI industry
Breaking into the AI industry can be challenging, as it requires lots of highly technical and specific skills. But if you’re interested in the field, that already puts you on a good start. Here are some practical tips for landing a job in AI:
Get the right education
While some AI roles require advanced degrees, there are many entry-level AI jobs that can be accessed with a bachelor’s degree in computer science, data science, or a related field. Specialized online courses, boot camps, and certifications in AI, machine learning, and data science can also boost your qualifications.
Build a strong portfolio
Theory is important, but practical application sets you apart. Building a portfolio of real-world projects will sharpen your skills and show potential employers your problem-solving capabilities in AI. Contribute to open-source projects, create machine learning models, or develop your own AI-powered applications to showcase your abilities to potential employers.
This might help: 4 Secrets to Building a Portfolio That’ll Make Everyone Want to Hire You
Network with industry professionals
Networking is crucial in AI, whether through attending conferences or participating in online forums and LinkedIn groups dedicated to AI professionals. Building connections with others in the field can open up job opportunities and provide valuable insights.
Start with entry-level AI jobs or internships
Many AI professionals get their start through internships or entry-level AI jobs like AI research assistants, data analysts, or others that we listed before. These positions provide invaluable experience and exposure to AI tools and techniques, setting the stage for more advanced roles.
Stay current with AI trends
The AI industry is constantly evolving, so staying informed about the latest technologies, tools, and methodologies is critical. Regularly reading AI research papers, attending webinars, and completing courses on the newest advancements in AI will help you remain competitive in the job market.
Apply your current knowledge in the AI industry
If you’re transitioning from another field, consider finding areas where your experience intersects with AI. For instance, if you’re from the finance sector, you could explore how AI is used in financial modeling and risk management. The idea is to showcase yourself as someone who brings valuable industry expertise to the table, with a growing interest in AI.
Test multiple AI platforms
To work as a geek, you must become a geek. A good hobby to acquire is to test various different AI platforms and tools. By doing that, Mitchell Cookson created his own AI business, AI Tools. “Testing and researching AI tools became my core focus as I realized the potential these technologies had to reshape industries,” Cookson says. “My hands-on experience with various AI platforms and tools and curiosity to explore cutting-edge solutions propelled me into the AI industry.”
Bottom line: Is a career in AI right for you?
The AI industry is a fast-paced and rapidly growing field with numerous opportunities for those with the right skills and mindset. Whether you’re interested in developing cutting-edge AI technologies or managing AI products, there are countless ways to build a successful career in artificial intelligence. Start by acquiring the necessary skills, building a portfolio, and networking with professionals, and you’ll be on your way to landing one of the many exciting jobs in AI.