Role Title: Generalist - Korean Speaker

Role Type: Contractor

Location: Remote

micro1 is engaging Generalist - Korean Speakers to contribute expertise on a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Leveraging your strong command of both Korean and English, you will work on data annotation, language evaluation, and content review, providing impactful, detailed feedback on AI outputs and helping refine advanced technology.

Scope of Work

Precisely annotate and label Korean-language data sets according to detailed project guidelines.
Carefully review long-form written content, including multi-turn chat transcripts and comparative text assessments.
Evaluate AI-generated responses in both Korean and English, offering structured feedback on accuracy and clarity.
Conduct quality assurance checks to identify errors and inconsistencies in linguistic data.
Collaborate asynchronously with project managers and other contributors to refine annotation and evaluation standards.
Document findings and recommendations for continual process improvements.
Maintain meticulous attention to detail throughout all assigned tasks and deliverables.

Preferred Qualifications

Native or near-native proficiency in written and spoken Korean, with the ability to accurately read and write Korean script.
Strong written and verbal communication skills in English, suitable for detailed report writing and discussion.
Bachelor’s degree in any field or equivalent practical experience.
Demonstrated experience in data annotation, content moderation, or linguistic analysis (prior annotation work is a strong plus).
Proven ability to perform careful, in-depth reading and side-by-side comparison of lengthy texts.
Exceptional attention to detail and commitment to delivering high-quality work.
Familiarity with AI evaluation projects or technology-driven content review is an advantage.