12 new careers in short supply amid the ChatGPT app craze

As AI technology represented by ChatGPT continues to develop, a large number of job opportunities that were once unheard of will also emerge. From AI psychologists who understand the impact of intelligent technology on humans, to AI compliance auditors who ensure the technology can be applied safely, these new roles are critical to creating stable and ethical AI application systems. Recently, foreign researchers listed 12 new occupations that are urgently needed in the future AI revolution, reflecting the diversity of demand for professionals in new technology applications such as ChatGPT. As AI technology continues to develop, more new roles may be needed to support it.

1. AI Ethicist

AI technology applications should be consistent with the values ​​and principles of current human society. AI ethicists are professionals who specialize in studying the ethical issues and impacts of AI applications. They need to identify and address a variety of social and ethical issues that may arise in the development and deployment of AI applications, including topics such as discrimination, bias, privacy, security, and transparency. AI ethicists need to work closely with various stakeholders, including application developers, architects, and end users, to ensure that AI systems can be used in a responsible and ethical manner. Their work is critical in shaping the future of AI technology applications.

2. AI model evaluator

AI model evaluator is a professional responsible for evaluating the performance and reliability of AI technology applications. 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 performance of AI models against relevant data sets and real-world scenarios. They also work to mitigate potential risks associated with using AI, such as privacy violations or unintended consequences. AI model reviewers need to work with data stewards and other stakeholders to make data-driven decisions about the design and implementation of AI models.

3. AI Compliance Auditor

The risks caused by data manipulation, exposure and tampering will continue to be amplified in the context of large-scale application of AI. Algorithmic bias is also another major problem faced in AI applications. Algorithms and their applications are supposed to be objective and unbiased, but they may not be. Therefore, it is very necessary to configure dedicated compliance auditors for AI applications such as ChatGPT. They review and verify the application processes and algorithm models based on ChatGPT technology, identify irregularities and potential security risks, and ensure that organizations are using AI Technology can be consistent with society's values ​​and regulatory requirements.

4. AI security experts

AI security experts are professionals responsible for ensuring the security of AI system applications and privacy data. They work to identify potential security risks in AI systems and take steps to protect them from cyberattacks and other threats. AI security experts are also responsible for ensuring the security of sensitive data used in AI systems, such as personal information and financial data. They need to work with other professionals, such as data managers and software engineers, to develop safe and stable AI systems. Their work is extremely valuable in ensuring the safety and reliability of AI technology applications.

5. AI process experts

AI process experts are professionals responsible for optimizing AI technology application processes and operation and maintenance processes. They work to identify business unit needs for automation and opportunities to streamline existing workflows, then use AI tools and technology to design and implement more efficient processes. AI process engineers can help companies reduce operating costs and improve work efficiency. Their work is critical to helping businesses leverage the value of AI technology and gain a competitive advantage.

6. AI system architect

AI system architect is a professional who designs complex AI systems. He is committed to comprehensively understanding business needs and goals, and then creating an AI system architecture that meets these needs. blueprint. They also need to identify and address potential technical challenges (such as data integration and security) and ensure that AI systems are scalable and adaptable to future changes in the business environment.

7. AI Development Engineer

AI development engineers specialize in AI system development and deployment. By continuously simplifying the process of building, testing and deploying AI solutions, they ensure that they are efficient, reliable and reliable. Extension. AI development engineers also need to be able to identify and solve potential problems with AI systems, such as performance bottlenecks and security vulnerabilities. They need to work with other professionals, such as data scientists and software engineers, to develop and implement AI systems in various industries such as healthcare, finance, and education. Their work is critical to ensuring AI system performance is stable and optimized.

8. AI data administrator

AI data administrator is a professional responsible for managing the correctness, consistency and security of input and output data in AI systems. They will also need to support the safe, ethical use of AI systems through improved data governance practices such as data provenance and data classification. They need to work with other professionals such as data analysts and development engineers to ensure the smooth development and implementation of AI systems. Their work enables companies to leverage the full potential of AI technology while ensuring the quality and integrity of the data required by AI systems.

9. AI Data Analyst

AI data analysts are professionals responsible for using AI technology to analyze and interpret large amounts of data. They work on developing and implementing machine learning algorithms to identify clues and insights in complex data environments. AI data analysts also need to identify whether the data used by the AI ​​system is accurate and valid, and optimize data processing and storage methods. They need to cooperate with AI data managers to jointly realize data-driven intelligent decision-making and application value.

10. AI Language Expert

The work goal of AI language expert is to enable intelligent devices to communicate with humans in a natural and intuitive way, ultimately making our interaction with technology more seamless and efficient. . This requires the use of machine learning algorithms to help machines identify interaction patterns and understand language structures. One of the biggest challenges currently facing NLP technology is how to develop systems that can understand the nuances of human language, such as sarcasm and metaphor. As an AI linguist, you will help developers build systems that can accurately interpret these nuances and generate appropriate responses.

11. AI Trainer

AI trainers work on designing and implementing 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 to ensure they are accurate, reliable and valid. They need to work with other professionals, such as software engineers, to test and optimize AI systems used in various industries. Their work helps ensure that AI technology applications meet society’s needs and expectations.

12. AI education experts

AI education experts are experts in developing and implementing AI-based education plans and courses. They design and create learning materials that leverage AI technology to enhance the learning experience. AI education experts work with educators and institutions to help them integrate AI technology into their teaching methods and curricula, and provide training and support to ensure educators have the skills and knowledge needed to use AI technology effectively. They also study the impact of AI technology on educational innovation and are committed to developing new education models that use AI to improve learning outcomes.

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