
Korean Native Speaker - AI Trainer
Required Skills
korean
analytical skills
attention to details
Job Description
Job Title: Korean Linguistics Specialist - AI Trainer
Job Type: Part-time
Location: Remote
Job Summary:
Join our customer's dynamic team as a Korean Linguistics Specialist - AI Trainer, where your native language expertise will directly influence advanced artificial intelligence systems. This part-time, fully remote role offers a unique chance to shape how AI understands and communicates in Korean, while working in a collaborative and innovative environment.
Key Responsibilities:
- Analyze and refine AI-generated Korean text for linguistic accuracy, naturalness, and contextual appropriateness.
- Identify, document, and correct errors in grammar, syntax, vocabulary, and tone to ensure native-level fluency.
- Collaborate closely with interdisciplinary teams, providing expert linguistic feedback on diverse language data and training materials.
- Document language patterns and emerging trends to support ongoing AI model improvement efforts.
- Deliver clear, actionable written feedback with meticulous attention to detail and a focus on linguistic authenticity.
- Engage in effective communication with team members through both well-crafted written documentation and virtual meetings.
- Contribute to the development of innovative strategies for AI language training tailored to Korean language nuances.
Required Skills and Qualifications:
- Native-level proficiency in Korean.
- Fluent in English
- Bachelor's degree or higher.
- Demonstrated ability to deliver precise written corrections and feedback, showcasing strong analytical and problem-solving skills.
- Experience in editing, proofreading, or language quality assurance, with keen attention to detail.
- Ability to work autonomously and manage multiple priorities within a remote work setup.
- Genuine passion for AI technologies and their applications in language processing.
Preferred Qualifications:
- Prior experience in training or evaluating AI or natural language processing models.
- Familiarity with computational linguistics tools or annotation platforms.
- Advanced degree (Master’s or PhD) in a relevant field.