Without a doubt, AI has generated a great impact in various sectors of the global economy, ranging from process optimization to the creation of new professional opportunities.
It is in this context of innovation that a fundamental question arises: how does AI influence job creation?
Contrary to the perception that automation leads to job losses, studies indicate that AI is creating job opportunities, some of which did not even exist a decade ago.
In this article, we will explore seven emerging jobs that have emerged thanks to the advancement of AI, from specialized engineers to legal experts charged with ensuring responsible use of this technology.
1. Prompt Engineer
The prompts engineer’s main responsibility is to design requests or premises that will be used to train and guide the AI models, so that they generate relevant and accurate responses.
This professional must have a deep understanding of natural language and the ability to formulate effective instructions that allow the AI to understand the context and produce consistent results.
In addition to technical skills in programming and machine learning, the prompts engineer must be creative and have critical thinking to design innovative strategies that improve the performance of AI models.
2. AI researcher
The AI researcher is a specialist who, in addition to being highly qualified, must focus on exploring and developing new applications of artificial intelligence to solve complex problems in different areas.
His work is related to identifying opportunities to apply AI, analyze large data sets and propose innovative solutions that improve the efficiency and productivity of organizations.
This professional must have knowledge in statistics, machine learning and data analysis, as well as the communication skills, resilience and adaptability to collaborate with multidisciplinary teams and lead AI research projects.
3. Natural language processing expert
The natural language processing expert is dedicated to the development and implementation of technologies that enable machines to understand, interpret and generate text and speech in human language.
Their work involves designing advanced algorithms and linguistic models that can analyze and process large volumes of data in different languages.
This professional must have solid training in programming languages, as well as experience in natural language processing techniques such as semantic analysis, automatic translation and text generation.
Likewise, you must be aware of the latest advances in the field and be able to apply them in different contexts, such as customer service, machine translation and sentiment analysis on social networks.
4. Expert in robotic process automation (RPA)
The robotic process automation (RPA) expert specializes in the development and implementation of software systems, which automate repetitive and manual tasks in a company.
Their work involves identifying processes that can be automated, designing and configuring software robots to execute those tasks efficiently, and monitoring their performance to ensure they are functioning correctly.
This professional must have knowledge of programming and information systems, as well as experience in RPA tools such as UiPath, Automation Anywhere or Blue Prism.
Likewise, you must have analytical and problem-solving skills to identify opportunities for improvement and optimization in the company’s business processes.
5. Algorithm auditor
The algorithm auditor is a professional who is responsible for reviewing and evaluating the quality of the algorithms used in artificial intelligence systems or applications.
Their work consists of analyzing the source code of the algorithms, identifying possible biases or discriminations in the training data and proposing solutions to mitigate these problems.
This professional must have a solid background in computer science, as well as experience in machine learning and statistics techniques.
Additionally, you must have communication and teamwork skills to collaborate with data scientists, developers, and other professionals in improving and optimizing AI algorithms.
6. Ethics and law specialist with knowledge of AI
The AI-savvy legal and ethics specialist focuses on advising companies and organizations on the legal and ethical impact of artificial intelligence.
Their work involves analyzing and evaluating the legal and ethical implications of AI technologies, as well as developing policies and procedures to ensure their responsible and ethical use.
This professional must have a solid background in law, as well as experience in related areas such as intellectual property, data privacy, and cybersecurity.
It is a profession in which one must have a deep knowledge of AIs and be able to apply that knowledge in the formulation of legal and ethical strategies for companies.
7. AI Psychologists and Mental Health Assistants
They are professionals who use algorithms and artificial intelligence technologies to offer emotional support, diagnosis and treatment to individuals with mental health challenges.
They work alongside software developers to create AI systems capable of interpreting users’ language and emotions, providing personalized responses and evidence-based advice.
They require a solid background in clinical psychology and technical knowledge in programming and machine learning.
Their work expands access to mental health care, reduces the stigma associated with mental disorders, and promotes emotional well-being in the digital age. Its field is expected to expand to accommodate current needs.
The future promises thanks to artificial intelligence
The proliferation of jobs related to artificial intelligence shows the transformative impact that this technology is having on the labor market.
From prompt engineers to ethics and legal specialists, these new roles reflect the growing demand for technical and cognitive skills in an increasingly AI-driven world.
However, beyond technological innovation, these jobs also highlight the importance of creativity, critical thinking and ethics in the development and application of artificial intelligence.
Therefore, the emergence of these jobs not only reflects an evolution in the way we work, but also a change in our understanding and application of technology for human well-being and social progress.
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