How To Hire An AI Expert If You Don’t Know AI

In today’s rapidly evolving digital landscape, artificial intelligence (AI) is no longer a concept reserved for tech giants or specialized industries. Businesses of all sizes are increasingly adopting AI to enhance productivity, improve customer experiences, and make smarter, data-driven decisions. However, diving into AI can be intimidating—especially if you’re unfamiliar with the technical aspects of the field. You may know AI could revolutionize your business, but without the expertise yourself, hiring the right AI expert can feel like a challenge.

Understanding how to evaluate AI skills, even at a high level, will equip you to make informed hiring choices. Whether you’re looking to automate workflows, enhance data analytics, or develop new AI-driven products, finding an expert who can meet your specific goals is crucial. This guide will walk you through every step of the hiring process, from understanding the basics of AI to recognizing red flags, helping you bring on an AI expert who aligns with your needs and vision—even if you’re just beginning your own AI journey.

1. Understand the Basics of AI and Key Skills Needed

To make an informed hiring decision, it helps to understand what AI encompasses. At its core, artificial intelligence covers areas like machine learning, data analysis, and predictive modeling. AI experts work with data to create systems that can analyze patterns, automate processes, and make data-driven predictions.

Recommended Starting Resources:

For a quick introduction, many platforms offer AI and machine learning courses for beginners. These courses cover essential skills like data analysis, programming (usually in Python), and an understanding of algorithms, providing an excellent foundation for your hiring process.

2. Identify What Your Business Needs from AI

Not every AI expert will have experience in every domain. Start by clarifying what you want AI to accomplish for your business. Whether it’s automating repetitive tasks, enhancing customer service, or improving sales forecasting, identifying these goals helps you determine the expertise you need.

Explore resources like Simple Academy’s Can My Business Benefit from Implementing AI? to better understand how AI can address specific business needs. You might find you need a data scientist for in-depth analytics or a machine learning engineer for product-focused AI solutions.

3. Evaluating AI Expertise Without Technical Knowledge

When assessing candidates, focus on qualifications and demonstrable experience. Many AI experts hold certifications, have completed bootcamps, or possess a portfolio of relevant projects. Look for experience in technologies like natural language processing (NLP) or data analysis, which are foundational for business applications.

Useful Certifications:

Check for reputable credentials from sources like IBM’s Data Science Professional Certificate or Google’s Machine Learning Certification. These indicate a candidate’s formal training and commitment to staying updated in a fast-evolving field.

For additional insight, review Why ChatGPT is Our Model of Choice for Simple Academy’s AI Training and Services to see how specific AI models align with business requirements.

4. Assessing Soft Skills and Business Acumen

AI experts don’t only need technical skills; they also need to explain complex concepts in simple terms and understand how AI impacts your bottom line. Look for candidates who can describe their work without jargon and who demonstrate a clear understanding of your industry.

To gauge communication and problem-solving skills, consider behavioral interview questions. For example, ask them to explain how they would approach a hypothetical business challenge using AI. Their response can reveal their creativity, clarity, and adaptability.

5. Questions to Ask AI Candidates (Even if You’re Not an Expert)

To evaluate their knowledge without needing a deep understanding yourself, consider questions like:

• Can you describe a past project where AI added value to a business? This shows their real-world impact and business understanding.
• What resources do you use to stay updated on AI trends? AI is an evolving field, so continuous learning is crucial.
• How would you explain your approach to someone without a technical background? This tests their ability to communicate complex topics clearly.

For practical insight, ask candidates to perform a basic data analysis task or walk you through their process for developing an AI model.

6. Continuous Learning and Adaptability

AI technology advances quickly, so it’s essential to hire someone who is dedicated to ongoing learning. Look for candidates who participate in industry conferences, complete certifications, or engage in online AI courses.

Encouraging new hires to take beginner-friendly AI courses can also ensure they’re aligned with your company’s broader digital goals. Platforms like Udacity’s AI for Business Leaders can provide them with a deeper understanding of AI in a business context.

7. Making the Final Decision: Red Flags and Must-Haves

As you narrow down your options, watch out for red flags like an over-reliance on jargon or an inability to discuss specific outcomes of their projects. AI experts should be able to provide clear examples of their work’s impact, demonstrate a balanced skill set, and show genuine enthusiasm for the role.

Must-have traits include:

• Strong analytical and technical skills relevant to your business needs
• Effective communication skills to bridge the gap between technical and non-technical stakeholders
• A proven track record of continuous learning

Conclusion

Hiring an AI expert when you’re unfamiliar with AI doesn’t have to be an overwhelming task. By taking time to understand the basics, defining your business goals, and focusing on key qualifications, you can confidently navigate the hiring process. Look for an AI professional who not only has the technical skills but can also communicate effectively and adapt their approach to suit your business. With the right questions and a clear assessment plan, you can identify candidates who bring both expertise and business acumen to your team.

Remember, the journey doesn’t stop once you’ve hired your AI expert. As the field of artificial intelligence continues to advance, so should your commitment to understanding its applications and potential. By building a foundation in AI knowledge, you’re setting your business up to thrive in a future that’s increasingly driven by smart, data-powered decision-making.