Top 6 Non-Technical Jobs in Artificial Intelligence

Robotics, AI, and machine learning all sound like very futuristic ideas, but they are a reality now. They describe computer programs that are capable of performing tasks traditionally done by humans. These tasks typically involve the fundamentals and foundations of a project. AI is employed to automate repetitive tasks, speech recognition, pattern recognition, workflow optimization, and research. By utilizing AI, these tasks can be significantly streamlined, allowing humans to tackle additional projects and more complex undertakings.

While the field of Artificial Intelligence is predominantly technical, there is also room for non-technical roles. The humanities and the arts play a significant part in the development and advancement of machine learning. For every technical role in AI, there are numerous non-technical positions supporting sales, product development, design, customer service, and other business functions. AI is being employed across various industries, such as travel, education, finance, driving, architecture, arts, and entertainment, relying on non-technical skills to complement the technology. Hence, if you believe that learning coding and programming are the only ways to secure a job in AI, it's crucial to know that many other skills are in demand within this sector.

As a non-technical professional exploring opportunities in the machine learning industry, it is advisable to examine the fields impacted by AI and identify trending jobs within those domains.

Let's delve into some of the top non-technical roles in Artificial Intelligence

Data Analytics Translator

One of the most significant fields in AI that does not require technical expertise is Data Analytics Translation. The role of a Data Analytics Translator is to "make sense" of the results generated by AI algorithms. While AI programs can identify patterns and scenarios in vast amounts of data, they struggle to draw conclusions from this information. This is where Analytics Translators add value by interpreting and deriving meaningful insights from patterns. While Analytics Translators don't necessarily require deep technical skills in coding or programming, they need to effectively communicate with technical staff. They serve as the bridge between technical roles in data modeling and the end-users of this data, such as product managers. Data Translators assist company management in translating these patterns into strategies that provide a competitive edge.

AI is making its mark in every industry, including the creative sectors. Wherever there is a need to comprehend extensive data and perform repetitive tasks, AI is making a significant impact. However, a broader perspective on Artificial Intelligence entails a multitude of skills, including marketing, creativity, communication, and strategy.

Virtual Assistants and Chatbot Designers

The role of Virtual Assistants and Chatbot Designers is growing rapidly, with many companies utilizing chatbots and virtual assistants for customer support and branding purposes. Industry giants like Apple and Wells Fargo are actively hiring game designers and writers to develop scripts for their virtual customer service support. In this role, conversation designers are responsible for designing the chatbot and scripting out the different paths a customer might take during a conversation. While deep technical knowledge is not required, effective communication, writing, and role-playing skills are vital for success in this field.

Artificial Intelligence Writers

Writers can thrive in the expanding field of Artificial Intelligence as well. Many non-technical writers have become subject matter experts highly sought after by online and traditional publications. They contribute articles to magazines on AI-related topics, covering industry trends and applications. For individuals with programming skills in computer languages, technical writing roles are available to create manuals and instructional guides for specific software programs.

The Arts

Will machines replace artists? Is art still genuine if it is produced by a machine? These are evolving questions regarding the use of AI in the visual arts. Machines are being utilized to generate art and animations, but human roles are still essential. In the fields of animation and visual arts, machines serve as tools to produce large volumes of work. Visual artists have the ability to infuse their creations with personal touches that machines cannot replicate. While there will be an audience for machine-generated art, there will also remain collectors of human-created art. AI is also used in animation tasks, but machines often struggle to convey the emotions and humor necessary for animation scripts. This is where human storytellers and writers excel by adding imagination and creativity to the work.

Language Translator

While machines are capable of performing language translations, human translators still play a crucial role. Many translation agencies utilize Artificial Intelligence to generate initial draft translations, which are then reviewed and refined by human editors. Various online platforms offer translation jobs that leverage AI in the workflow.

Game Writers

Artificial Intelligence drives the gaming industry, but there is a growing demand for writers and storytellers as well. Writing articles, opinions, and scripts for video games does not necessarily require technical skills, and these roles present exciting opportunities for non-technical professionals.