A bachelor's degree in computer science or a closely related field is required to work in artificial intelligence. 

Additionally, think about earning a graduate degree in the area while developing your resume and experience. 

Learn more about the many careers available in AI, the qualifications and training needed to apply, the pay scale, and potential career routes.

If you're interested in pursuing a career in artificial intelligence (AI), here are some steps you can take to increase your chances of finding a job in the field:

• Gain experience: One of the most important things you can do to increase your chances of finding a job in AI is to gain practical experience. 
• This can include working on personal projects, participating in hackathons or online communities, or interning or working in the field.
• Build your skills: It's essential to have a strong foundation in relevant skills such as programming, math and statistics, machine learning, and data science. You can build these skills through coursework, online tutorials, and hands-on experience.
• Network: Building relationships with people in the AI industry can be a valuable way to learn about job opportunities and get advice on your career path. You can do this through networking events, online communities, or professional organisations.
• Tailor your resume: Ensure your resume highlights your relevant skills and experiences and demonstrates how you can contribute to an AI team.
• Apply to jobs: Once you have the necessary skills and experience, start applying to jobs that align with your goals and interests. Be sure to tailor your application materials to each position, highlighting the skills and experiences that make you a strong fit for the role.

It's also important to be persistent and patient in your job search, as the competition for AI jobs can be fierce. 

Don't be discouraged if you don't get a job offer immediately. Be open to considering opportunities that may not be your first choice, as they can provide valuable experience and help you develop your skills.

Investigate jobs in AI 

There are many jobs available in artificial intelligence (AI). Some standard job titles in AI include:

• Data Scientist: Data scientists use statistical and machine learning techniques to analyse and interpret complex data sets. They may also be responsible for building and deploying predictive models.
• Machine Learning Engineer: Machine learning engineers design and develop machine learning models and implement and maintain the infrastructure required to train and deploy them.
• AI Researcher: AI researchers design and conduct experiments to advance state of art in AI. They may also be responsible for publishing their findings in academic journals and presenting their work at conferences.
• AI Product Manager: AI product managers are responsible for defining the strategy and roadmap for an AI product or service. They work closely with data scientists and engineers to build and launch AI products.
• AI Sales Engineer: AI sales engineers work with customers to understand their needs and help them understand how an AI product or service can meet those needs. They may also be responsible for demonstrating the product's capabilities and providing technical support.
• AI Consultant: AI consultants help organisations understand the potential of AI and how it can be applied to their business. They may also be responsible for developing and implementing AI solutions for their clients.
• AI Ethics Consultant: AI ethics consultants help organisations understand the ethical implications of their AI products and practices and advise them on ensuring that their AI systems are fair, transparent, and accountable.

There are many other job titles and roles in AI, and the specific tasks and responsibilities associated with each role can vary widely depending on the organisation and industry.

Develop skills needed in AI   

Several skills are essential for artificial intelligence (AI) success. The most important skills include:

• Programming: Many AI tasks require programming skills, particularly Python, R, and Java.
• Math and Statistics: AI relies heavily on math and statistics, so a strong foundation in these subjects is essential. This includes knowledge of linear algebra, calculus, probability, and statistics.
• Machine Learning: Machine learning is a crucial area of AI, and a deep understanding of machine learning algorithms and techniques is essential for many AI jobs. This includes familiarity with supervised and unsupervised learning and deep learning techniques such as neural networks.
• Data Science: Data science skills, including data cleaning, exploration, and visualisation, are essential for many AI roles, as AI often involves working with large and complex data sets.
• Communication and Collaboration: AI projects often involve working in teams, so strong communication and collaboration skills are essential. This includes communicating technical concepts to non-technical stakeholders and working effectively with cross-functional teams.
• Problem-Solving: AI work often involves solving complex problems, so the ability to approach problems systematically and logically is important.
• Ethics: As AI systems become more widespread, the ethical implications of their development and deployment are becoming increasingly important. Familiarity with ethical frameworks and the ability to consider the ethical implications of AI projects are essential for many AI roles.

To develop these skills, consider taking online courses or earning a degree in a related field such as computer science, data science, or statistics. 

You can also gain experience working on personal projects or participating in AI-focused hackathons or online communities.

Educational requirements 

The educational requirements for jobs in artificial intelligence (AI) can vary depending on the specific role and the organisation. 

In general, many AI jobs require at least a bachelor's degree in a field such as a computer science, data science, or a related field. 

A master's degree or PhD can be helpful for some advanced AI roles, particularly in research or academia.

Here are some common educational backgrounds for people working in AI:

• Computer Science: A degree in computer science can provide a strong foundation in programming, algorithms, and data structures, which are essential skills for many AI jobs.
• Data Science: A degree in data science can provide a strong foundation in statistics, machine learning, and data visualisation, which are essential skills for many AI jobs.
• Statistics: A degree in statistics can provide a strong foundation in data analysis and statistical modelling, which are essential skills for many AI jobs.
• Mathematics: A degree in mathematics can provide a strong foundation in linear algebra, calculus, and other mathematical concepts that are important for many AI jobs.

In addition to formal education, practical experience and hands-on skills can also be necessary for success in AI. 

This can include experience working on personal projects, participating in hackathons or online communities, or interning or working in the field.

Salary range and job outlook 

The salary range and job outlook for artificial intelligence (AI) jobs can vary depending on several factors, including the specific role, the organisation, the industry, the location, and the individual's level of education and experience.

According to data from Glassdoor, the median salary for AI jobs in the United States is $123,000 per year. 

However, the salary range can vary widely, with some AI jobs paying as little as $60,000 per year and others paying as much as $180,000 or more per year.

The job outlook for AI is generally positive, as the demand for AI professionals is expected to grow. 

According to the World Economic Forum, the demand for AI skills is expected to increase by more than 50% over the next five years.

It's worth noting that the field of AI is rapidly evolving, and the specific skills and job titles in demand may change over time. 

It's essential to stay up-to-date with the latest field developments and continuously learn and develop new skills to remain competitive in the job market.