20 Most in-demand AI Skills for non-programmers (Part 2)

You want to jump the AI bandwagon, but you are not the programmer! You are at the right place. Here are (rest of the) 10 hot AI Skills for non-programmers with practical examples (first 10 are mentioned in the comment section).

YouTuber: As YouTuber, you create and share video content on platforms like YouTube to educate, entertain, and inform the audience about AI-related topics, trends, and technologies. Another facet is to create the content using AI for any other topic/area of interest.

Example: Produce tutorials on machine learning concepts, explaining how to build AI models using user-friendly tools like TensorFlow.

Social Media Manager: AI social media managers are responsible for curating and managing social media content related to AI, engaging with the audience, and growing a following.

Example: A tech company hires an AI social media manager to create and share infographics, articles, and videos about AI applications in daily life, aiming to attract a wider audience interested in AI.

AI Quality Assurance Engineer: As AI quality assurance engineer, you test AI systems to ensure they function correctly and meet quality standards, identifying and reporting any issues.

Example: Testing an AI-powered machine translation system to ensure that it can translate text accurately and fluently.

AI Technical Support Specialist: Provide support to users of AI products and services. Troubleshoot problems, answer questions, and provide guidance to users.

Example: Providing guidance to a customer on how to set up an AI-powered dashboard.

AI Recruiter: You find and hire qualified candidates for AI jobs. Work with hiring managers to understand the job requirements, and identify candidates who have the necessary skills and experience. Screen candidates, conduct interviews, and make hiring recommendations.

Example: Recruiting for a machine learning researcher position at a university.

AI Consultant: AI consultants provide advice and guidance to businesses on how to strategize and implement AI solutions effectively, considering their unique needs and goals.

Example: An AI consultant works with a manufacturing company to recommend AI-driven predictive maintenance solutions to reduce equipment downtime and maintenance costs.

AI Educator: AI educators teach people about AI concepts, applications, and skills through training programs, workshops, and educational materials.

Example: Developing an online course on AI for beginners.

AI Researcher: AI researchers conduct research on new AI algorithms, techniques, and advancements, contributing to the development of cutting-edge AI solutions.

Example: A research scientist at a tech company explores novel reinforcement learning algorithms to improve the decision-making capabilities of autonomous robots.

AI Advocate: AI advocates promote the responsible and ethical use of AI technologies within organizations and society, raising awareness of AI-related ethical considerations.

Example: An AI advocate works with a government agency to draft policies and guidelines for the ethical deployment of AI in public services like healthcare and education.

AI Futurist: AI futurists contemplate the future of AI and its potential societal impacts, helping organizations anticipate and prepare for AI-driven changes.

Example: An AI futurist presents keynote speeches and whitepapers on how AI may shape industries like transportation, healthcare, and finance in the coming decades.

These roles illustrate the diverse career opportunities available in the AI field for individuals who may not possess strong programming skills but have valuable expertise in other areas such as documentation, data analysis, recruitment, education, and strategic consulting.

PS: Did I miss something, in your opinion?