The last few years have seen a global upsurge in artificial intelligence (AI). Despite being around for a while, it has only recently started to be everywhere. Moreover, a variety of non-technical AI jobs opportunity has been created as a result of the widespread use of this advanced technology. It’s true, as you heard. To capitalize on this multidisciplinary field’s expanding appeal, you don’t always need to come from a technical background.

There are professional opportunities available if you are interested in Artificial Intelligence but lack a computer science degree. This field will accommodate you as long as you are eager to learn new things and broaden your scope of knowledge. But to have a successful non-technical career in AI, it’s essential to have a fundamental understanding of it and its main areas.

Here are some alternatives: Let’s look into each of them:

1) Project Managers: A project manager’s primary responsibility is to coordinate with the teams responsible for developing and implementing various AI solutions. A project manager is essential to the success of every AI project because they plan, manage resources, ensure good communication, work with technical teams to track progress and deliver solutions efficiently.

However, if you want to make a smooth transition from a non-tech industry to one that primarily relies on technological breakthroughs, enrolling in a short-term course to understand the technicalities related to AI solutions might be very helpful.

2) Ethicists: The need for AI ethicists in IT behemoths around the world is enormous, and it will only grow in the ensuing years. Making sure AI systems adhere to political, social, and ethical norms is the main responsibility of an ethicist. This enhances the machines’ ability to function impartially. The businesses risk serious repercussions, such as lawsuits and reputational harm.

You need to have a variety of talents, including interdisciplinary knowledge, effective communication, an awareness of the ethical implications of technologies, and—most importantly—an unflinching dedication to social responsibility, if you want to become an AI ethicist.

3) Conversation and manual writers: Being “genre-fluid” as a writer allows you to play a variety of roles, including creative, research-based, technical, and more. You can definitely enter AI with ease because of this. Tech businesses are being forced by the rising use of chatbots on websites and social media platforms to employ writers who can give these machines personality.

AI writers are tasked with creating conversational scripts that cover any scenario a user can encounter when talking with a chatbot. Similarly to this, the tech industry may hire writers to provide documentation and user guides for AI systems so that non-tech users can understand and use them. Before being offered a project, you are typically given the necessary training for the technical element of your function.

4) Sales and marketing professionals: To increase output, any business technology or product needs to be promoted to potential customers. AI is not any different. Sales and marketing staff members collaborate closely with technical teams to first attempt to comprehend the features of the AI solutions generated by the organization before employing cutting-edge marketing techniques to sell them.

Salespeople also help to create and sustain long-term relationships with their clients. This also aids them in recognizing the continuously changing market demands and in providing feedback to the product development teams.

5) Business analysts: Another group of experts in artificial intelligence is those who work in the business world. Business analysts are responsible for outlining business needs before recommending AI solutions that are relevant to particular domains. Your ability to generate ideas, think creatively, be adaptable to new technology, and be open to change are all necessary for carrying out this task.

A business analyst sometimes interacts with users and gathers feedback in addition to matching AI solutions with an organization’s goals to determine areas that need improvement.

Conclusion

There are many career opportunities in AI, a huge sector with both tech- and non-tech-focused positions available. There are developing chances in this market regardless of your background—whether you’re a writer, salesperson, business analyst, or project manager. Having said that, you might need to take upskilling courses to increase your technical skills before transferring into any role connected to AI.