The emergence of artificial intelligence (AI) is transforming the employment landscape, generating new job opportunities while redefining existing professions. By 2030, approximately 170 million jobs could be created to meet the demands of this evolving technology. This article explores some of the innovative professions emerging thanks to AI, ranging from algorithmic exegetes to data annotation specialists, as well as engineers specialized in AI deployment.
Algorithmic Exegist
As language models become crucial across various sectors, the role of the algorithmic exegist proves essential. These experts are tasked with analyzing and interpreting the complex workings of algorithms, often referred to as “black boxes.” Their mission is to make these systems more transparent for users, managers, and regulators. They must possess an in-depth knowledge of large language models and have the ability to simplify technical concepts. In parallel, their interpersonal skills will also be tested, as they will need to interact with various stakeholders within the company.
Data Annotation Specialist
With the rise of AI, the demand for quality data is intensifying. This leads to the emergence of new roles such as that of data annotation specialist. This professional must combine industry expertise and technological skills to process and annotate data, often in highly regulated fields like healthcare or finance. For example, understanding a sequence of DNA requires a specialized approach to translate raw data into actionable information. Companies will therefore begin looking for these experts who can cross their domain knowledge and data science.
AI Deployment Engineer
After the annotation and retraining of AI models, these systems must be effectively deployed within organizations. AI deployment engineers are responsible for this integration. Their role is a mix of sales, consulting, and software development. They often spend several months within client companies, overseeing all stages of deployment. This position requires a blend of hard skills in algorithms and soft skills to collaborate with internal teams and meet their specific needs.
AI Risk and Governance Specialist
With the increasing use of algorithms, issues of ethics and regulation are gaining prominence. AI risk and governance specialists will be tasked with ensuring that algorithms comply with current laws while minimizing the risks of legal conflicts. They must also monitor the security of AI systems to ensure they do not compromise data privacy. The demand for these experts will grow, each potentially specializing in a specific topic such as cybersecurity, law, or data management.
Custom AI Chip Specialist
Technological advancements in hardware are also being felt with the growing demand for custom AI chips. Companies like OpenAI and Amazon are investing in the design of semiconductors tailored to their specific needs. Such a context paves the way for new jobs for engineers, specialized in chip design and familiar with unique business challenges. As AI becomes more widespread, these experts will become crucial for enabling companies to remain competitive in the market.
As AI continues to transform professions, monitoring the evolution of these new positions will be essential to understand how they can be optimally integrated within businesses. Furthermore, articles like this can provide crucial insights into the importance of preparing for the future of innovative professions inspired by artificial intelligence. For more information, discover examples of companies using AI in various fields, such as career guidance or architecture, or explore the unexpected effects of this technology on our daily lives through the following sites: Orkypia, the revolutionary chatbot, AI and architecture, and the unexpected effects of AI.
