
Korean Language Expert - AI Trainer
Required Skills
content review
fact verification
attention to detail
remote collaboration
Job Description
Job Title: Korean Language Expert - AI Trainer
Job Type: Part-Time
Location: Remote
Job 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.