
Survey data from 1,200 K-TAG users reveals the practical gaps employers can close to win and retain global talent.
Read ArticleA look at the constraints, data sources, and ranking strategy behind K-TAG’s recommendation system.

Matching foreign talent to legal jobs in Korea is a constrained optimization problem. Visa categories, working-hour limits, language proficiency, and employer requirements all act as hard filters before any ranking begins.
This article walks through how K-TAG models these constraints, how we source authoritative visa data, and how we combine candidate features with employer signals to rank matches with explainability in mind.
Long read — grab a coffee.

Survey data from 1,200 K-TAG users reveals the practical gaps employers can close to win and retain global talent.
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A new research partnership adds Kangwon to the growing list of universities collaborating with Jably on AI for foreign talent.
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