Korean Language Expert - AI Trainer

Job DescriptionJob Title: Korean Language Expert - AI TrainerJob Type: Part-TimeLocation: RemoteJob Summary:Join our customer's team as a Korean Language Expert - AI Trainer, where your deep understanding of the Korean language and culture will help shape next-generation AI technologies. In this role, you'll ensure that AI-generated content in Korean is accurate, clear, and aligns with authentic sources while collaborating remotely with a passionate, detail-oriented review team.Key Responsibilities:Review Korean-language content for factual accuracy, linguistic clarity, and cultural appropriateness.Cross-reference facts and claims using credible local and international sources.Identify and flag any misleading, incorrect, or ambiguous information in written materials.Maintain high standards of language quality and cultural sensitivity across all reviewed content.Work closely with the customer's internal review team to uphold project guidelines and quality benchmarks.Adapt feedback and suggestions from colleagues to refine and improve future content reviews.Document findings and contribute to ongoing process improvements for content evaluation.Required Skills and Qualifications:Native or near-native fluency in Korean, with excellent command of written and spoken communication.Strong analytical skills and keen attention to detail in detecting factual and linguistic nuances.Demonstrated experience in content review, language evaluation, or a related discipline.Ability to efficiently work remotely and communicate effectively in a virtual team environment.Proficiency in verifying information and synthesizing data from multiple reliable sources.Organized and able to meet deadlines while maintaining high quality standards.Reliable internet connection and access to necessary remote work tools.Preferred Qualifications:Prior experience in AI training, localization, or linguistic data annotation projects.Background in translation, linguistics, or computational linguistics.Familiarity with quality assurance processes in digital content creation.