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How to Hire AI Operators: A Practical Guide

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As more organizations invest in AI tools and AI systems , they often overlook the people responsible for supervising them. With AI increasingly embedded in everyday business processes, small mistakes can snowball quickly before anyone realizes there’s a problem, making the right staff just as critical as the right technology. AI operators fill this gap, overseeing how AI is used in real workflows by interpreting outputs, questioning results, and stepping in when automation goes off track. In some environments, that means supervising systems made up of multiple AI agents working together. In others, it means monitoring individual AI tools embedded in business processes. In both cases, the role is the same: making sure automated systems behave as intended and intervening when they don’t. In How to Hire AI Operators, we’ll walk through practical guidance for employers on how to identify, evaluate, and hire the people your business needs to support responsible, reliable AI use. As ...
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AI Video Interviews: Helpful Screening Tool or Risky Shortcut for Employers?

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Hiring teams are under pressure to move faster, handle larger applicant pools, and keep the process fair—all without burning out recruiters or overwhelming candidates. AI video interview tools promise speed, consistency, and fewer scheduling headaches, especially for the early screening stages—but does automation actually improve hiring, or does it risk turning a deeply human moment into something rigid or impersonal? In this article, we take a clear-eyed look at where these tools actually help, where they fall short, and how employers can use them without losing the authenticity and judgment that make hiring decisions effective. What Are AI Video Interviews, and How Do They Work? AI video interviews are screening systems that use technology to guide the early stages of a job interview . With these tools, candidates record responses to preset questions, and the system analyzes them using a mix of transcription, natural language processing (NLP), pattern recognition, and scorin...
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Soft Skills Are the New Hard Skills: Evaluating Soft Skills in Technical Roles

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Technical hiring has often been seen as fairly straightforward: find someone with the right stack, verify they can do the work, and bring them on board. But as AI speeds up development and automates more routine tasks, teams now rely more heavily than ever on communication, collaboration, and adaptability to keep projects aligned. AI can generate code, but it can’t untangle a misunderstanding between stakeholders, identify hidden assumptions, or steady a team when priorities shift. For many hiring managers, these human capabilities often predict long-term success more accurately than a candidate’s mastery of any particular framework or tool. The challenge is that soft skills are far harder to measure. You can test for technical expertise , but you can’t reliably gauge communication style, critical thinking, or real-world problem-solving from a polished interview answer. That’s why evaluating soft skills in technical roles has become one of the most critical—and most complex—parts o...
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