The Quick Report

9 Careers in AI and How to Land Them

Artificial Intelligence (AI) is changing industries across the globe, and the demand for professionals in this field is growing rapidly. Here are nine careers in AI, and what you need to do to get hired.

9 Careers in AI

Here are nine careers in AI, and how each one is playing a crucial role in advancing this new technology.

1. AI Engineer

AI engineers are responsible for designing, developing, and implementing AI systems and solutions. They create algorithms, train machine learning models, and train AI applications for specific tasks, such as natural language processing or computer vision.

The median annual salary in the US for an Engineer is AI $98,340.

2. Machine Learning Engineer


Machine learning engineers specialize in building and deploying machine learning models. They work on algorithms that allow machines to learn from data, make predictions, and improve their performance over time.

The median annual salary in the US for a Machine Learning Engineer is $173,000.

3. AI Researcher

AI researchers are the innovators. They conduct experiments, develop new AI techniques, and explore new areas in AI to push the limits of what’s possible.

The median annual salary in the US for an AI Researcher is $173,000.


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4. AI Product Manager

AI product managers bridge the gap between technical teams and business goals. They define the roadmap for AI products, decide the importance of features, and ensure that AI technologies align with the company’s objectives and market needs.

The median annual salary in the US for an AI Product Manager is $160,000.

5. AI Ethics Specialist


As AI becomes more prominent, the need for AI ethics specialists is growing. They focus on ensuring that AI technologies are developed and used ethically, addressing issues like bias, fairness, transparency, and privacy.

The median annual salary in the US for an AI Ethics Specialist is $145,000.

6. Data Engineer

Data engineers play a critical role in collecting, storing, and preparing data for analysis. They build data pipelines, design databases, and ensure that data is available and accessible for data scientists and other stakeholders.

The median annual salary in the US for a Data Engineer is $128,704.

7. Robotics Engineer


Robotics engineers design, build, and maintain robotic systems, from industrial robots used in manufacturing to autonomous robots for tasks like exploration or surgery.

The median annual salary in the US for a Robotics Engineer is $143,589.

8. Software Engineer

Software engineers in the AI field create and maintain applications that incorporate AI technologies. They develop algorithms, integrate AI into existing systems, and ensure software runs efficiently.

The median annual salary in the US for a Software Engineer is $140,052.

9. Data Scientist

Data scientists extract valuable insights from data using various tools and techniques, including machine learning. They analyze data, build predictive models, and provide data-driven recommendations to inform business decisions.

The median annual salary in the US for a Data Scientist is $125,390.

How to Get Started and Land a Job in AI


Each job in the field of artificial intelligence comes with its own specific set of skills and requirements for a particular job role.

There may be different paths to a particular role, such as additional education or training based on qualifications you already have.

If you’re starting at the bottom, most jobs in the field of AI require a bachelor’s degree or higher. However, some jobs may only need an associate degree, or no degree at all, preferring a specialized set of skills.

Most people working in AI have degrees in computer science, math, or related fields.

Specialized Skills and Certifications

Even if you have an undergraduate degree, you may need additional certifications to demonstrate that you possess a certain set of skills directly related to AI. These certifications include:

  • MIT: Artificial Intelligence: Implications for Business Strategy
  • USAII: Certified Artificial Intelligence Engineer
  • USAII: Certified Artificial Intelligence Consultant
  • USAII: Certified Artificial Intelligence Scientist
  • ARTIBA: Artificial Intelligence Engineer

Applying for Entry-Level Jobs in AI


Entry-level jobs in AI will typically indicate that fact by including the terms “entry-level” or “junior” in the job description. Many of these will require less than three years of experience.

If you are finding it difficult to find an entry-level job, you might consider applying for internships or getting involved in a freelance project that will improve your skills. This will serve as something you can list on your resume as experience and references.

Final Thoughts

These AI careers are in high demand across industries like healthcare, finance, e-commerce, and more. As AI continues to shape the future, professionals in these roles will have the opportunity to drive innovation and make a significant impact on our increasingly AI-driven world.