AI product managers bridge the gap between AI development teams and business stakeholders. They focus on identifying customer needs, defining AI product strategies, and managing the development process without needing deep technical expertise.
AI ethicists focus on ensuring that AI systems are developed and deployed in a way that aligns with ethical standards. They help organizations navigate complex issues such as bias, privacy, and accountability in AI systems.
With the right tools, such as Excel or business intelligence (BI) software, non-tech professionals can transition to this role, gaining further skills in data manipulation and analysis.
AI companies need skilled professionals who can market their products and services effectively. Sales and marketing specialists work with AI products, helping companies communicate the value of AI-driven solutions to clients and customers.
AI trainers work on teaching AI models how to interpret and respond to human inputs. This is a non-technical role that involves labeling data and helping to ensure AI systems are accurately learning from the information provided.