12 High-Demand AI Jobs for Beginners to Look Out for in 2025

Artificial Intelligence (AI) is one of the fastest-growing fields, and it’s not just for tech experts anymore. In 2025, there are plenty of AI jobs for beginners that anyone with basic tech skills can pursue. AI and machine learning jobs have increased by nearly 75% over the past four years, making now the perfect time to start a career in AI.

AI is transforming industries like healthcare, finance, and entertainment, creating new job opportunities. Whether you’re a recent graduate, changing careers, or looking to expand your skills, AI jobs for beginners offer a great way to enter this exciting field.

AI Industry Overview – A Quick Look

Artificial intelligence is impacting almost every industry, from healthcare and education to marketing, retail, eCommerce, and finance. The number of AI companies in the U.S. has doubled since 2017. By 2022, there were nearly 14,000 AI startups in the country. The AI market is projected to grow from $515.31 billion in 2023 to $2,025.12 billion by 2030.

Career Outlook for Entry-Level AI Jobs

The job prospects for AI positions, including entry-level roles, are highly positive. According to the Bureau of Labor Statistics, there is expected to be a 26% growth in computer and information research jobs from 2023 to 2033, covering roles like AI specialists and machine learning engineers.

Best AI Jobs for Beginners

Entry-level AI jobs are ideal for people who may not have a lot of technical experience but are excited to learn and contribute. These roles often involve using AI in different industries and focus more on skills like critical thinking, creativity, and communication rather than formal qualifications. Here are some of the entry-level jobs you can try pursuing in artificial intelligence:

1. AI Data Analyst

AI Data Analysts are responsible for gathering, cleaning, and analyzing data that helps train AI systems. This role involves handling datasets, finding patterns, and making sure that AI models have accurate information to learn from. It’s a great starting point for those interested in working with data and AI systems. It’s ideal for beginners, especially if you have some basic knowledge of data analysis or statistics. AI Data Analyst roles provide exposure to the core of how AI models are developed.

Skills You’ll Need:

• Basic data analysis skills (e.g., using Excel or SQL)
• Introductory knowledge of programming languages like Python
• Understanding of machine learning concepts

2. AI Customer Support Specialist

In this role, you will assist in managing AI-powered customer service systems like chatbots and virtual assistants. AI Customer Support Specialists ensure that these tools are working smoothly and help improve the customer experience. You don’t need advanced technical skills, just the ability to work with AI tools and troubleshoot issues. You’ll get a solid understanding of how AI interacts with real-world applications.

Skills You’ll Need:

• Strong communication and problem-solving skills
• Familiarity with AI-powered tools like chatbots
• A basic understanding of AI concepts

3. Machine Learning Intern

If you’re looking to get your foot in the door of the AI world, consider applying for a Machine Learning Internship. As an intern, you’ll assist experienced machine learning engineers in developing and testing algorithms, running experiments, and analyzing data. Many internships don’t require previous experience, making it a perfect entry-level AI job. You’ll gain hands-on experience with real-world machine-learning models.

Skills You’ll Need:

• Basic programming knowledge (Python, TensorFlow)
• An understanding of machine learning algorithms
• A willingness to learn and work in a team

4. AI Software Developer

AI software developers create applications and systems that leverage AI technology. While this role requires programming knowledge, beginners can start by assisting with smaller projects or supporting experienced developers. If you’re already familiar with software development, transitioning to an AI Software Developer role is easier. This role allows you to learn on the job and improve your skills.

Skills You’ll Need:

• Strong programming skills (Python, Java, C++)
• Familiarity with AI frameworks like TensorFlow or PyTorch
• Basic understanding of software development processes

5. AI Research Assistant

If you’re interested in AI research, an AI Research Assistant role could be a great choice. Research assistants help conduct studies and experiments related to AI models, algorithms, and techniques. You don’t need years of experience, just the ability to support researchers and learn new techniques. This role allows you to work with cutting-edge AI technology and explore its theoretical aspects.

Skills You’ll Need:

• Research skills and attention to detail
• Basic understanding of AI concepts
• Ability to work with data and document findings

6. AI Quality Assurance Tester

AI systems must be thoroughly tested to ensure they work as expected. As an AI Quality Assurance (QA) Tester, you’ll help test AI models and applications, identify issues, and ensure they function properly. This role doesn’t require advanced AI knowledge but offers a deep understanding of how AI models are used. AI QA Testers ensure the reliability and functionality of AI tools.

Skills You’ll Need:

• Attention to detail
• Basic understanding of AI and machine learning principles
• Ability to document issues and test results

7. AI Chatbot Developer

AI-powered chatbots are widely used in customer service, marketing, and more. As an AI Chatbot Developer, you’ll work on creating and improving these bots. Even at the entry-level, you can contribute to developing simpler chatbots. If you have some programming knowledge, chatbot development is a great way to dive into AI. It’s a growing field with lots of job opportunities across different industries.

Skills You’ll Need:

• Familiarity with programming languages like Python or JavaScript
• Basic knowledge of natural language processing (NLP)
• Understanding of chatbot development frameworks

8. Data Annotation Specialist

AI models require labeled data to make predictions. As a Data Annotation Specialist, your job is to label data, such as images or text, to help train these models. This is one of the most straightforward entry-level AI jobs with no experience. Data annotation is easy to start with, and many companies offer remote work opportunities. This role gives you a direct understanding of how data is used to train AI models.

Skills You’ll Need:

• Attention to detail
• Basic understanding of machine learning
• Ability to categorize and label data accurately

9. AI Content Creator

With AI transforming content creation, companies are hiring AI Content Creators to generate written, visual, and audio content. If you’re good at using AI tools like text generators, video editing software, or graphic design tools, this job might be for you. You don’t need advanced AI skills, just creativity and the ability to use AI tools effectively. You can explore various AI content creation tools to improve your output.

Skills You’ll Need:

• Creativity and storytelling skills
• Familiarity with AI tools like Jasper or Canva
• Basic technical knowledge of AI-powered content tools

10. AI Product Manager (Entry-Level)

An AI Product Manager helps manage AI-based products from development to launch. If you have a knack for strategy and organization, this can be a great entry-level job for you. It involves working with teams to ensure that AI products meet customer needs and business goals. You don’t need technical experience, just strong project management and communication skills. AI Product Managers get to work at the intersection of business and technology, offering great growth opportunities.

Skills You’ll Need:

• Strong organizational and project management skills
• Basic knowledge of AI and product development
• Excellent communication and teamwork skills

11. AI Business Analyst

As an AI Business Analyst, you’ll analyze business processes and identify how AI can improve them. This role requires good analytical skills and the ability to communicate AI solutions to stakeholders. It’s ideal for those who understand business and want to explore AI’s potential in business applications., You’ll gain exposure to how AI can be used in various industries.

Skills You’ll Need:

• Analytical thinking
• Understanding of business processes and AI
• Good communication skills

12. AI Engineer (Entry-Level)

An entry-level AI Engineer assists in designing and implementing AI systems. You’ll help build and improve AI models and algorithms under the guidance of more experienced engineers. This is an excellent starting point if you’re interested in coding, data structures, and algorithms. Entry-level AI engineers can expect to work on a variety of tasks and gain exposure to different AI technologies.

Skills You’ll Need:

• Basic programming skills (Python, Java, C++)
• Knowledge of AI frameworks like TensorFlow or Keras
• A solid understanding of basic algorithms and data structures

Starting Your Career in Artificial Intelligence

As AI continues to shape various industries, it opens up new career opportunities for beginners, even without advanced technical skills. The growing demand for AI professionals means that now is an ideal time to start exploring these roles. With a willingness to learn and adapt, anyone can begin a rewarding career in AI, which is not just for tech experts but also for those seeking to enter a transformative and rapidly evolving field. This shift underscores the importance of embracing new technologies, as they create accessible pathways for growth and innovation across sectors.