ZoomInfo, the Go-To-Market (GTM) Intelligence and Talent Solutions platform,  announced the launch of its AI Builder Catalog, a specialized dataset that surfaces verifiable Proof-of-Work Signals to accelerate AI hiring.

The AI Builder Catalog enables recruiters to create talent profiles on individuals beyond a resume. It shows recruiting teams and hiring managers the hidden gems and rising stars making breakthrough contributions before everyone else discovers them.

The AI Builder Catalog enables recruiters to create talent profiles on individuals that go far beyond a resume. It shows recruiting teams and hiring managers the hidden gems and rising stars making breakthrough contributions before everyone else discovers them.

As organizations race to build AI capabilities, traditional recruiting methods fall short. Resume keywords and job titles fail to capture true technical depth, and the scarcity of proven AI engineer talent makes every hire critical. ZoomInfo’s AI Builder Catalog solves this by enriching candidate profiles with signals from open source contributions, academic publications, patent filings, competition wins, and community influence, helping recruiters move beyond generic talent searches to identify specialists with demonstrable expertise.

“Passive, outbound recruiting is very much alive, especially when you’re competing for the best AI talent in the world,” said Jon Bischke, GM of ZoomInfo Talent Solutions. “We don’t rely on self-reported skills or endorsements because the best AI talent isn’t on job boards. They’re building breakthrough models, contributing to open source, and publishing research. We track actual code commits, published papers, and granted patents—proof you can’t fake.”

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Hire Top AI Talent Before Your Competitors Do

The AI Builder Catalog addresses critical pain points that talent acquisition leaders face:

• Engaging top passive talent: Most top AI practitioners aren’t actively job searching, and their technical contributions exist across fragmented platforms such as coding repositories, academic conferences, model hubs, patent databases, and technical communities.
• Proving quality-of-hire to leadership: Recruiters need objective evidence to justify candidate decisions, especially for highly compensated AI roles where hiring mistakes are costly.
• Reducing time spent on unqualified candidates: Manually verifying technical credentials across multiple platforms is time-consuming and inefficient, slowing down hiring cycles.
• Identifying scarce, specialized skills: Generic searches for “machine learning engineer” miss the nuance between candidates with multimodal AI experience, retrieval system expertise, or AI safety credentials.

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ZoomInfo’s AI Builder Catalog delivers:

• Cross-platform entity resolution that links research papers, code repositories, model hubs, and patents into a unified view of each candidate’s contributions.
• Evidence-based talent graphs built on proof-of-work, influence metrics, and recency of contributions.
• Continuously updated data sources from leading platforms including top open source websites, NeurlIPS, ICML, arXiv, USPTO, and technical communities.

Identify Top AI Practitioners By What They Build, Not What They Claim

Recruiters using the AI Builder Catalog can:

• Pinpoint specialists in niche domains like multimodal AI, retrieval systems, or safety research.
• Discover rising stars with breakthrough contributions before they become widely recognized and heavily recruited.
• Supercharge Applicant Tracking Systems (ATS) by enriching existing candidate profiles with verifiable credentials that improve pass rates with hiring managers.
• Build winning cases by presenting hiring managers with objective evidence.