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AI may not just replace work. It may also create entirely new categories of human work around training, evaluating, and operating intelligent systems.
In this episode, we speak with Ingmar Klein, co-founder and CEO of Huzzle, a company that evolved from a talent marketplace into an AI-powered recruitment engine and, more recently, a provider of human data for frontier AI labs.
Ingmar shares how Huzzle built AI interview systems capable of assessing candidates at scale, why hiring is one of the first workflows where AI can already outperform humans in consistency and efficiency, and what it takes to combine automation with human judgment in recruitment.
The conversation then expands into the emerging market for human feedback and training data. Ingmar explains why experts across domains may increasingly spend time evaluating model outputs, improving agents, and helping AI systems operate inside real software environments. We also discuss why the next bottleneck may not be model capability, but adoption inside companies still running on legacy systems.
If you’re interested in how AI is changing hiring, creating new job categories, and reshaping how organizations operate: this episode is worth a listen.
By Angel InvestAI may not just replace work. It may also create entirely new categories of human work around training, evaluating, and operating intelligent systems.
In this episode, we speak with Ingmar Klein, co-founder and CEO of Huzzle, a company that evolved from a talent marketplace into an AI-powered recruitment engine and, more recently, a provider of human data for frontier AI labs.
Ingmar shares how Huzzle built AI interview systems capable of assessing candidates at scale, why hiring is one of the first workflows where AI can already outperform humans in consistency and efficiency, and what it takes to combine automation with human judgment in recruitment.
The conversation then expands into the emerging market for human feedback and training data. Ingmar explains why experts across domains may increasingly spend time evaluating model outputs, improving agents, and helping AI systems operate inside real software environments. We also discuss why the next bottleneck may not be model capability, but adoption inside companies still running on legacy systems.
If you’re interested in how AI is changing hiring, creating new job categories, and reshaping how organizations operate: this episode is worth a listen.