Mercor is seeking skilled Korean annotators to build high-quality training data for Korean-language documents.
Asegúrese de que toda la información de su solicitud está actualizada y en orden antes de inscribirse en esta oportunidad.
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.
Adecuado candidates xqbhyrx are native Korean speakers with editorial or bilingual QA experience and a meticulous, process-driven approach to
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📌 Korean PDF Annotation Expert for AI Training Data (Madrid)
🏢 Mercor
📍 Madrid
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