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Remote posting at known AI vendor with junior role but Korean language requirement narrows applicant pool.
Korean language requirement and NLP annotation experience make candidates somewhat transferable but language-specific.
Requires native Korean proficiency and minimum one year annotation experience, tightening candidate filters.
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Own quality and annotation of Korean and English language datasets to improve AI conversational model accuracy and performance.
Collaborate with research teams to refine annotation guidelines, resolve ambiguities, and conduct quality checks to enhance dataset reliability.
Manually test conversational AI features and contribute insights to influence product improvements across chatbots, voicebots, and agent assist systems.
Native or near native proficiency in Korean and English.
Minimum 1 year of experience in language data annotation, analysis, or related roles.
Strong attention to detail and ability to maintain accuracy across complex and repetitive tasks.
Foundational understanding of linguistics or language structure.
Experience working with linguistic data in a bilingual Korean-English environment focused on conversational AI.
Ability to work independently while collaborating cross-functionally with research and product teams.
Comfortable with detailed annotation processes and analytical review to improve AI language system performance.