AI-vetted expert talent marketplace and human data provider for AI labs
Huzzle runs an AI-driven recruiting engine that sources and vets experts for AI labs, startups and enterprises, plus a research unit producing human data and RL environments. Hiring skews heavily toward sales and marketing across a wide spread of emerging-market countries, while the stack mixes several CRMs (HubSpot, Salesforce, Zoho, Pipedrive) with n8n and Zapier automation, and Kubernetes, Azure and Microsoft Fabric are being adopted.
Notable leadership hires: Project Lead, Sales Team Lead, Chief of Staff
Huzzle is a privately held company headquartered in London, United Kingdom, with 51–200 employees. It matches vetted expert talent with AI labs, startups and enterprises, using an AI recruiter to source, screen across multiple stages and train candidates at volume. Its Huzzle Labs team of researchers and engineers delivers human data, RL environment, evaluation, RLHF and SFT work for AI labs, drawing on the same expert pool. The company recruits across Latin America, Eastern Europe, Africa, South Asia, the Philippines, the US and the UK.
Huzzle uses Python, JavaScript, Supabase, n8n, Zapier and Airtable, with HubSpot, Salesforce, Zoho and Pipedrive for CRM, Stripe and QuickBooks for finance, and Gemini. It is adopting Kubernetes, Azure, Microsoft Fabric and Power Platform.
Huzzle hires across many countries including Egypt, the Philippines, Romania, Argentina, South Africa, Pakistan, Brazil, Mexico, Colombia, India, Poland, the United States and the United Kingdom.
Yes. Sales is Huzzle's dominant hiring area, followed by marketing, with mostly mid-level and senior roles and a Sales Team Lead opening, though overall hiring velocity is decelerating.
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Huzzle.com's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.