Unlocking AI Opportunities for Non-Techies: Five Lucrative Non-Technical Roles in the Field

As artificial intelligence (AI) continues to grow in popularity, there are now more non-technical job opportunities available in the field. If you’re interested in AI but don’t have a background in computer science, there are still plenty of opportunities for you to explore. However, it’s important to have a basic understanding of AI and its major branches to build a successful career in this multidisciplinary field.

Here are five non-technical roles in AI that you can consider:

1. Conversation and manual writers: As more companies integrate chatbots into their websites and social media platforms, they are also hiring writers to create conversational scripts and manuals for AI systems. These writers are responsible for making sure that chatbots can interact effectively with users and that AI systems are understandable and operable for non-tech users.
2. Project managers: Project managers are responsible for coordinating teams involved in the development and deployment of various AI solutions. They oversee everything from planning to managing resources, collaborating with technical teams, monitoring progress, and deploying solutions effectively. While enrolling in a short-term course to understand the technicalities associated with AI solutions can be beneficial, it is not always necessary.
3. Business analysts: Business analysts define business requirements and suggest domain-specific AI solutions. They possess skills such as idea generation capacity, creative thinking, flexibility to adopt new technologies, and the ability to embrace change. They also engage with users to collect feedback and identify areas of improvement.
4. Ethicists: AI ethicists are in high demand across the globe to ensure that AI systems are ethically, politically, and socially compliant. Their job is to make sure that machines operate in an unbiased manner, so companies don’t suffer severe consequences. To become an AI ethicist, you need interdisciplinary knowledge, strong communication skills, and an unwavering commitment to social responsibility.
5. Sales/marketing professionals: AI products and technologies require marketing to potential clients to boost production. Sales and marketing professionals work closely with technical teams to understand AI solutions and then use innovative marketing strategies to sell them. They also contribute to building and maintaining long-term relationships with customers and conveying their feedback to product development teams.

In conclusion, AI is a vast field with numerous job opportunities for both tech-led and non-tech roles. If you’re interested in transitioning into any role associated with AI, you may need to strengthen your technical knowledge with upskilling courses. However, with the right skills and willingness to learn, there’s a career window in AI for everyone.