Artificial Intelligence has been perceived as a futuristic technology for a long time. Most people had assumed that AI would turn machines into rogue servants that would take over the world. However, AI has made our lives easier in many ways. Whether you want to listen to your favorite song or learn about weather conditions, there is an AI tool for every need. 

Even big businesses such as Netflix use AI, thereby leading to sporadic growth in the demand for artificial intelligence jobs in different roles. Skilled AI experts can find jobs in almost every industry, such as healthcare, marketing, governance, agriculture, retail, and financial services. Learn how AI is transforming jobs in different industries. A beginner is likely to have apprehensions regarding a career in AI. Let us clear some of these doubts and find the top AI jobs that come with promising career benefits. 

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Why Should You Pursue AI Jobs?

Artificial intelligence is a highly rewarding field in which to search for new jobs. The top artificial intelligence jobs have gained the attention of aspiring professionals in the domain of technology. The adoption of AI in business operations has encouraged the demand for professionals with artificial intelligence skills. You can find employment prospects in the domain of AI in different roles, such as researchers, specialists, and architects. 

On top of that, a career in AI can help you choose jobs in different industries that fit your preferences. Most importantly, AI experts can earn an average annual salary of more than $100,000. Artificial intelligence offers diverse opportunities for growth alongside flexibility to work in the roles they want. 

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Which AI jobs are the best picks for your career?

The selection of a specific AI job is one of the foremost challenges associated with professional development as an AI experts. You may work hard to learn AI and build your skills for using artificial intelligence to solve real-world problems. However, the multiple high-paying AI jobs can create a lot of confusion for beginners. Therefore, you must know about the job descriptions of different roles, the salary for AI engineers and experts, and the skills required for the AI roles.

Here is an outline of the most popular job roles that you should pursue for a successful career in AI. 

top ai jobs

  • AI Software Developer

AI software developers are responsible for designing and developing AI software applications and algorithms. It is one of the best artificial intelligence jobs for software developers who want to build a career in artificial intelligence. The responsibilities of AI software developers involve different tasks, such as scripting code, continuous integration, quality assurance, and API management. They also develop algorithms that can help data scientists and power the designs envisioned by AI solution architects. In addition, AI software developers must stay updated with the latest trends and advancements in AI technologies. 

You would need skills in AI programming languages such as Python or Java and software development skills to work as an AI software developer. An AI software developer must also have skills in using AI frameworks such as PyTorch and TensorFlow. The average salary of AI software developers varies from $90,000 to $150,000.  

  • AI Product Manager

AI product managers supervise the development lifecycle of AI products and offer a clear definition of the product strategy. The responsibility of an AI product manager also involves ensuring collaboration with engineering teams. It is one of the lucrative roles based on an assessment of artificial intelligence jobs salary estimates. However, the role of AI product managers is significantly crucial as it involves an intersection of technology, user experience, and business acumen. They have to create AI solutions that fulfill customer needs alongside addressing business goals.

AI product managers would need a unique set of skills, such as an in-depth understanding of machine learning and AI lifecycles. On top of that, they must have a strong command over product management practices alongside the skills required to lead cross-functional teams. As a product manager, you would also have to rely on your abilities in market research and communication skills to achieve your career goals. The average annual salary of AI product managers varies from $110,000 to $180,000.

  • AI Ethics Consultant

Ethical implications of using AI systems will become a formidable concern in 2024. Therefore, AI ethics consultant would be one of the top artificial intelligence jobs that would gain momentum in the future. AI ethics consultants understand the moral and ethical implications of AI technologies in developing and deploying responsible AI. 

Businesses would also seek experts in AI ethics for AI ethics committees, thereby indicating better prospects for AI ethics consultants. The primary responsibility of an AI ethics consultant revolves around addressing ethical concerns associated with AI technologies, developing guidelines, and promoting responsible AI practices.

AI ethics consultants would need an in-depth understanding of AI ethics and AI technologies to address their responsibilities. In addition, communication and critical thinking skills are also the most important skills for working as a specialist in AI ethics. Most importantly, AI ethics consultants also advocate for ethical practices in AI usage, working in collaboration with AI developers, policymakers, and researchers. The average annual salary of an AI ethics consultant ranges from $80,000 to $130,000. 

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  • Data Scientist

Data scientists will always be one of the most in-demand roles in the AI labor market, owing to their unique responsibilities. It is one of the most popular artificial intelligence jobs and is among the top ten choices for building a career in AI. Data scientists are responsible for the analysis of complex data, developing predictive models, and extracting insights from big datasets. The job of a data scientist is similar to that of an investigator, as they seek the best ways to transform raw data into valuable insights. 

Data scientists must have skills in statistical analysis, data processing, and machine learning techniques to discover new patterns and predict trends. The role also demands skills in data visualization and use of libraries by popular programming languages such as Python or R. On top of it, data scientists also leverage predictive modeling for forecasting future events like data visualization and customer churn. The average annual salary of data scientists varies between $100,000 and $145,000. 

  • Machine Learning Engineer

Machine learning engineers are the pillars of the AI industry as they create machine learning algorithms and models that power AI systems. As a matter of fact, machine learning engineering offers high-paying AI jobs with strong prospects for growth in the future. The responsibilities of machine learning engineers primarily involve developing machine learning models, designing algorithms, and implementing AI solutions. Machine learning engineers play a pivotal role in the transformation of data science models into useful AI solutions. 

Machine learning involves training of AI models and requires formidable fluency in technical skills. Machine learning engineers must be fluent in mathematics and statistics. Most importantly, ML engineers must develop an in-depth understanding of machine learning theory alongside the practical aspects of deploying ML models at scale.

You would need skills in Python and powerful libraries such as PyTorch and TensorFlow to become a machine learning engineer. The skills of ML engineers also include an in-depth understanding of data preprocessing and deep learning. The average annual salary of an ML engineer varies from $100,000 to $150,000.

  • AI Research Scientist 

AI research scientists are working on conducting research in artificial intelligence and pushing the boundaries of innovation with AI. The responsibilities of an AI research scientist make it one of the best artificial intelligence jobs for academically motivated candidates. AI research scientists must develop and test new algorithms alongside publishing research papers to document their new advancements. 

You can become an AI research scientist with research and documentation skills. Aspiring AI research scientists need a strong academic background in computer science and mathematics. In addition, the role also demands experience in using AI frameworks such as Scikit-learn and Keras. The average annual salary of AI research scientists varies between $90,000 and $130,000. 

  • AI Business Analyst 

AI business analysts also enjoy promising career benefits in the domain of artificial intelligence. It offers one of the most appealing artificial intelligence jobs salary estimates alongside other career benefits. The role involves working on the analysis and identification of business opportunities alongside extracting insights to implement AI in different types of business operations. 

AI business analysts guide businesses in the right direction for implementing AI systems. Therefore, they would need a combination of skills involving business analysis and data interpretation. Most importantly, AI business analysts must know how to use AI applications in different types of contexts for businesses. The average annual salary of AI business analysts ranges from $85,000 to $130,000.

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Final Words

The list of top artificial intelligence jobs provides a helpful guide to choosing the right job. Most importantly, candidates seeking a job in AI must know that salary is not the only factor that you should consider when choosing a specific role. You have to determine a specific set of career objectives based on your skills and preferences for professional development. Therefore, professional training resources that can prepare you for the jobs of the future would be the ideal choices for you.

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About Author

David Miller is a dedicated content writer and customer relationship specialist at Future Skills Academy. With a passion for technology, he specializes in crafting insightful articles on AI, machine learning, and deep learning. David's expertise lies in creating engaging content that educates and inspires readers, helping them stay updated on the latest trends and advancements in the tech industry.