21 Hidden Careers in the AI Revolution: Driving Change in the Tech Industry

As AI technology continues to evolve, it is creating a vast array of job opportunities that were once unheard of. While traditional AI roles such as data scientists, machine learning engineers, and AI researchers are widely recognized, there are several lesser-known careers that are equally important in driving change in the tech industry. In this article, we will explore 21 hidden careers in the AI revolution.

These hidden careers in the AI revolution are becoming increasingly vital as AI technology becomes more pervasive in various industries. From AI psychologists who understand the human impact of AI to AI knowledge engineers who ensure AI systems have the necessary information to perform their tasks, these roles are critical to creating AI systems that are effective and ethical.

Moreover, the rise of AI in the industry has created a need for AI professionals who can develop and implement AI tools and solutions tailored to this niche market. This highlights the versatility of AI professionals and the diverse range of applications for this technology.

Here are 21 hidden careers in the AI revolution that are driving change in the tech industry.

1. AI Ethicist: An AI Ethicist is a professional who specializes in the ethical considerations and implications of Artificial Intelligence (AI). They work to identify and address potential ethical issues that may arise from the development and deployment of AI technologies. This includes topics such as bias, privacy, safety, and transparency. AI Ethicists collaborate with various stakeholders, including developers, policymakers, and end-users, to ensure that AI systems are developed and used in a responsible and ethical manner. Their work is essential in shaping the future of AI and ensuring that it aligns with the values and principles of society.
2. AI Psychologist: An AI Psychologist is a professional who specializes in the intersection of artificial intelligence and human psychology. They work to develop and implement AI technologies that can enhance mental health and well-being, as well as improve the diagnosis and treatment of psychological disorders. AI Psychologists use machine learning algorithms and natural language processing to analyze large amounts of data and provide personalized interventions and recommendations to individuals. They collaborate with other mental health professionals to ensure that AI technologies are used in an ethical and responsible manner and that they align with the values and principles of the mental health profession.
3. AI Business Strategist: In AI Business, my role is to help organizations leverage artificial intelligence to improve their operations and gain a competitive advantage. This involves identifying areas where AI can be applied, developing AI strategies, and overseeing the implementation of AI solutions. One of the key benefits of AI is its ability to automate repetitive tasks and analyze large amounts of data quickly and accurately. This can lead to increased efficiency, improved decision-making, and cost savings for businesses. However, implementing AI solutions also requires careful consideration of ethical and privacy concerns, as well as ensuring that employees are trained to work alongside AI systems. As an AI business strategist, I work to ensure that these issues are addressed and that AI is used in a responsible and effective way.
4. AI Language Specialist: As an AI language specialist, my focus is on developing natural language processing (NLP) technologies that enable machines to understand and generate human language. This involves working with large datasets and using machine learning algorithms to teach machines to recognize patterns and understand language structures. NLP technologies have many practical applications, from chatbots and virtual assistants that can understand and respond to human queries to sentiment analysis tools that can analyze customer feedback and identify areas for improvement. One of the biggest challenges in NLP is developing systems that can understand the nuances of human language, such as sarcasm, irony, and metaphor. As an AI language specialist, I work to develop systems that can accurately interpret these nuances and generate appropriate responses. Overall, my goal as an AI language specialist is to create technologies that enable machines to communicate with humans in a natural and intuitive way, ultimately making our interactions with technology more seamless and productive.
5. AI Trainer: An AI Trainer is a professional who specializes in training and developing artificial intelligence systems. They work to design and implement machine learning algorithms that can learn and adapt to new data over time. AI Trainers also work to identify and address potential biases or inaccuracies in AI models, ensuring that they are accurate, reliable, and effective. They collaborate with other professionals, such as data scientists and software engineers, to develop and test AI systems across various industries, including healthcare, finance, and transportation. Their work is essential in shaping the future of AI and ensuring that it aligns with the needs and expectations of society.
6. AI Translator: An AI Translator is a professional who specializes in developing and implementing artificial intelligence technologies to facilitate communication between people who speak different languages. They work to design and implement machine learning algorithms that can accurately translate speech and text in real time. AI Translators use natural language processing and other advanced techniques to identify nuances in language and ensure that translations are accurate and culturally appropriate. They collaborate with other professionals, such as linguists and software engineers, to develop and test AI translation systems across various industries, including travel, hospitality, and international business. Their work is essential in breaking down language barriers and facilitating global communication.
7. AI Infrastructure Architect: An AI Infrastructure Architect is a professional who specializes in designing and implementing the technological infrastructure that supports AI systems. They work to develop and optimize the hardware and software components that are required for running large-scale AI applications. AI Infrastructure Architects also work to ensure that AI systems are secure, reliable, and scalable and that they can handle large amounts of data in real time. They collaborate with other professionals, such as data scientists and software engineers, to develop and implement AI systems across various industries, including healthcare, finance, and transportation. Their work is essential in enabling the growth and advancement of AI technology.
8. AI DevOps Engineer: An AI DevOps Engineer is a professional who specializes in the development and deployment of artificial intelligence systems. They work to streamline the process of building, testing, and deploying AI applications, ensuring that they are efficient, reliable, and scalable. AI DevOps Engineers also work to identify and address potential issues with AI systems, such as performance bottlenecks and security vulnerabilities. They collaborate with other professionals, such as data scientists and software engineers, to develop and implement AI systems across various industries, including healthcare, finance, and transportation. Their work is essential in ensuring that AI systems are optimized for performance and reliability.
9. AI Data Analyst: An AI Data Analyst is a professional who specializes in analyzing and interpreting large amounts of data using artificial intelligence technologies. They work to develop and implement machine learning algorithms that can identify patterns and insights in complex data sets. AI Data Analysts also work to ensure the accuracy and validity of data used in AI systems and to optimize data processing and storage methods. They collaborate with other professionals, such as data scientists and software engineers, to develop and implement AI systems across various industries, including healthcare, finance, and transportation. Their work is essential in enabling data-driven decision-making and unlocking the potential of AI technology.
10. AI User Experience (UX) Designer: An AI User Experience (UX) Designer is a professional who specializes in designing user interfaces and experiences for artificial intelligence systems. They work to create intuitive and user-friendly interfaces that enable users to interact with AI systems in a natural and intuitive way. AI UX Designers also work to optimize the performance and usability of AI systems, ensuring that they are accessible to users of all skill levels. They collaborate with other professionals, such as data scientists and software engineers, to develop and implement AI systems across various industries, including healthcare, finance, and transportation. Their work is essential in creating engaging and effective AI applications that can be easily adopted by users.
11. AI Product Manager: An AI Product Manager is a professional who specializes in managing the development and launch of artificial intelligence products. They work to identify market opportunities for AI products and define product requirements based on customer needs and market trends. AI Product Managers also work to ensure the successful launch and adoption of AI products by developing marketing and sales strategies, managing product pricing and distribution, and providing customer support. They collaborate with other professionals, such as data scientists and software engineers, to develop and implement AI systems across various industries, including healthcare, finance, and transportation. Their work is essential in enabling businesses to leverage the potential of AI technology and stay competitive in the market.
12. AI Security Specialist: An AI Security Specialist is a professional who specializes in ensuring the security and privacy of artificial intelligence systems. They work to identify potential security risks in AI systems and implement measures to protect them from cyber-attacks and other threats. AI Security Specialists also work to ensure the confidentiality of sensitive data used in AI systems, such as personal information and financial data. They collaborate with other professionals, such as data scientists and software engineers, to develop and implement AI systems across various industries, including healthcare, finance, and transportation. Their work is essential in ensuring the safety and reliability of AI technology and preventing potential security breaches.
13. AI Data Steward: An AI Data Steward is a professional who specializes in managing the quality, consistency, and security of data used in artificial intelligence systems. They work to ensure that data used in AI systems is accurate, complete, and up-to-date, and they implement measures to protect it from cyber threats and unauthorized access. AI Data Stewards also work to improve data governance practices, such as data lineage and data classification, to support the ethical and responsible use of AI systems. They collaborate with other professionals, such as data scientists and software engineers, to develop and implement AI systems across various industries, including healthcare, finance, and transportation. Their work is essential in enabling businesses to leverage the potential of AI technology while ensuring the quality and integrity of the data used to power AI systems.
14. AI Human Enhancement Specialist: An AI Human Enhancement Specialist is a professional who specializes in using AI technology to enhance human capabilities, such as memory, vision, and decision-making. They work to develop and implement AI-powered tools and devices that can augment human abilities, such as brain-computer interfaces and neuroprosthetics. AI Human Enhancement Specialists also collaborate with healthcare professionals to develop AI-powered treatments for conditions such as paralysis, stroke, and Alzheimer's disease. They are experts in both AI technology and human physiology, and their work is essential in unlocking the full potential of AI technology in improving human health and performance.
15. AI System Architect: An AI System Architect is a professional who designs and implements complex AI systems that integrate multiple technologies and data sources. They work to develop a comprehensive understanding of the business needs and objectives and then create a blueprint for the AI system architecture that will meet those needs. AI System Architects also work to identify and address potential technical challenges, such as data integration and security, and ensure that the AI system is scalable and adaptable to future changes in the business environment. They collaborate with other professionals, such as data scientists and software engineers, to implement and maintain the AI system, and their work is critical in enabling businesses to leverage the full potential of AI technology for competitive advantage.
16. AI Process Engineer: An AI Process Engineer is a professional who specializes in using AI technology to optimize business processes and workflows. They work to identify opportunities for automation and streamlining of processes and then use AI tools and techniques to design and implement more efficient and effective processes. AI Process Engineers also monitor and analyze process data to identify areas for improvement and make data-driven recommendations to enhance performance. They collaborate with business stakeholders, such as operations managers and IT professionals, to ensure that the AI-powered processes are aligned with business objectives and requirements. Their work is essential in driving organizational efficiency and agility through the application of AI technology.
17. AI Entertainment Producer: An AI entertainment producer utilizes AI tools and techniques to create and produce various forms of adult entertainment, such as Images, movies, TV shows, and video games. They can employ AI to generate scripts, characters, or music or to enhance the overall production process by automating tasks like editing and post-production. AI entertainment producers can help to streamline production timelines, reduce costs, and create new and innovative forms of entertainment that leverage the latest AI technology.
18. AI Model Evaluator: An AI Model Evaluator is a professional who specializes in assessing the performance and reliability of AI models. They work to ensure that AI models are accurate, unbiased, and effective in solving specific business problems. AI Model Evaluators use a variety of tools and techniques to test the AI model's performance against relevant data sets and real-world scenarios. They also work to identify and mitigate potential risks associated with the use of AI, such as privacy violations or unintended consequences. AI Model Evaluators collaborate with data scientists and other stakeholders to make data-driven decisions about the design and implementation of AI models, and their work is critical in ensuring the responsible and ethical use of AI technology. 
19. AI Knowledge Engineer: An AI Knowledge Engineer is a professional who specializes in creating and managing the knowledge base for AI systems. They work to ensure that AI systems have access to relevant and accurate data and information, which is necessary for them to function effectively. AI Knowledge Engineers use a variety of tools and techniques to build, organize, and maintain the knowledge base, such as natural language processing, machine learning, and semantic web technologies. They collaborate with other AI professionals, such as data scientists and software developers, to design and implement AI systems that can effectively process and apply knowledge to real-world problems. The work of AI Knowledge Engineers is critical in ensuring the success of AI systems in various industries, from healthcare to finance to retail.
20. AI Domain Expert: An AI Domain Expert is a professional who has deep knowledge and expertise in a specific domain or industry, such as healthcare, finance, or transportation. They work with AI teams to provide domain-specific insights and guidance, helping to ensure that AI systems are designed and implemented to meet the unique needs and challenges of their industry. AI Domain Experts work closely with AI developers, data scientists, and other professionals to develop and test AI models, ensuring that they are accurate, reliable, and aligned with industry best practices. They also play a key role in communicating the potential benefits and limitations of AI systems to stakeholders, such as policymakers, regulators, and customers. The work of AI Domain Experts is essential in enabling the successful deployment and adoption of AI technology in various industries.
21. AI Solution Architect: An AI Solution Architect is a professional responsible for designing and implementing complex AI systems that meet the needs of their clients. They work with clients to understand their business requirements and design AI solutions that are efficient, scalable, and cost-effective. AI Solution Architects use their expertise in AI technologies, software engineering, and system integration to design and develop AI systems that can process and analyze large amounts of data, make accurate predictions, and automate tasks. They also ensure that AI systems are secure, reliable, and compliant with regulatory requirements. The work of AI Solution Architects is critical in enabling organizations to leverage the full potential of AI technology and gain a competitive edge in their respective industries.
22. AI Education Specialist: An AI Education Specialist is an expert in developing and implementing AI-based educational programs and curricula. They design and create learning materials that incorporate AI technologies, such as machine learning and natural language processing, to enhance the learning experience. AI Education Specialists work with educators and institutions to help them integrate AI into their teaching methods and courses, and they provide training and support to ensure that educators have the skills and knowledge necessary to use AI effectively. They also conduct research on the impact of AI on education and work to develop new educational models that leverage AI to improve learning outcomes. The role of AI Education Specialists is becoming increasingly important as AI continues to transform the education industry and create new opportunities for students and educators alike.

These are just a few examples of the hidden careers in the AI revolution that are driving change in the tech industry. As AI technology continues to advance, it is likely that new roles will emerge to support it. If you're interested in pursuing a career in the AI industry, it's worth exploring these lesser-known roles to find the perfect fit for your skills and interests.