Twelve Labs Inc. logo

Talent Sourcing Partner (1-Year Contract)

Job Overview

Location

Seoul, South Korea

Job Type

Contract

Category

HR & Recruiting

Date Posted

April 9, 2026

Full Job Description

đź“‹ Description

  • • As a Talent Sourcing Partner on a 1-year fixed-term contract, you will play a critical role in shaping TwelveLabs’ talent pipeline by identifying and engaging top ML/AI talent in South Korea, directly impacting the company’s ability to hire world-class researchers and engineers.
  • • Day to day, you will lead targeted sourcing for ML engineers, research engineers, and scientists; build and maintain dynamic talent maps of the Korean AI ecosystem; engage passive candidates through professional networks, academic channels, and open-source communities; collaborate with recruiters and hiring managers via weekly syncs; plan and execute community events like research dinners and tech talks; manage candidate pipelines in Ashby ATS; and track sourcing metrics to continuously improve outreach and conversion.
  • • You will join a globally distributed, mission-driven team headquartered in San Francisco with a growing presence in Seoul, backed by $107M in funding from top-tier VCs and AI pioneers, where diverse backgrounds are valued and innovation is driven by inclusive collaboration.
  • • In this role, you will deepen your expertise in technical recruiting for cutting-edge AI talent, gain strategic influence over hiring outcomes in a competitive market, develop employer branding initiatives that resonate with research communities, and build a measurable impact on TwelveLabs’ ability to attract and retain top-tier ML/AI professionals in APAC.

Skills & Technologies

Onsite

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Twelve Labs Inc.
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About Twelve Labs Inc.

Twelve Labs builds multimodal video understanding AI. Its cloud platform transforms long-form video into vector embeddings that capture visual, audio, speech and contextual information, enabling semantic search, summarization, chaptering, moderation and analytics through a single API. Developers upload video, index it, then query in natural language or image to retrieve exact moments, generate highlights or detect unwanted content. Models are pretrained on large-scale web video, continually fine-tuned for accuracy and latency, and deployable on dedicated GPU clusters for enterprise security. Founded in 2021, the San Francisco company serves media, ed-tech, safety and e-commerce customers worldwide.

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