Mercor is seeking skilled Korean annotators to build high-quality training data for Korean-language documents. You will locate publicly accessible Korean PDFs that include multimodal elements and meticulously annotate structure, bound regions, and reading order.
Transcription must be character-accurate Hangul, with thorough verification through second-expert review. Idóneo candidates are native Korean speakers with editorial or bilingual QA experience and a meticulous, process-driven approach to
📌 Korean PDF Annotation Expert for AI Training Data (Madrid)
🏢 Mercor
📍 Madrid
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