Korean Quality Assurance Lead (QAL)
$45/hIndicative range provided by SME Careers
Posted on June 12, 2026 · Applications until November 6, 2026
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This remote role oversees Korean AI training quality by reviewing content, managing contributor workflows, and maintaining documentation. Candidates need native Korean proficiency, strong English skills, and at least three years of professional experience in writing, editing, or quality assurance.
Description in English, as published by SME Careers.
In this hourly, remote contractor role, you will work as a Korean Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Korean AI training projects. You will review AI-generated Korean content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.
You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Korean and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Korean quality leadership will directly help improve the world’s premier AI models by ensuring that Korean training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.
Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.
Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Responsibilities
- Quality monitoring: Spot-check Korean items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
- Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
- Question handling: Respond to trainer/QA questions clearly and promptly, especially around Korean wording, honorifics, speech level, register, translation fidelity, cultural context, and edge cases.
- Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
- Documentation: Create and maintain Korean project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
- Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Korean-specific style requirements.
- Quality alignment: Ensure all trainers and QAs apply Korean language guidelines consistently and understand updates as projects evolve.
- Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Korean-language projects.
Requirements
- Bachelor’s or Master’s degree in Korean, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
- Native or near-native Korean proficiency with strong reading and writing skills.
- Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English.
- 3+ years of professional experience in Korean writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
- Strong understanding of Korean grammar, spelling conventions, punctuation, honorifics, speech levels, tone, register, and cultural context.
- Ability to evaluate Korean content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect honorifics, hallucinated claims, ambiguity, or inconsistent terminology.
- Comfortable handling formal vs informal Korean, honorific usage, product/UI localization terminology, and audience adaptation for South Korean users.
- Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
- Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation.
- Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus.
Required skills
- Trainer Feedback
- Documentation
- LLM evaluation
- Localization QA
- Style Guides
- English
- Korean
- Translation Quality Review
- AI Training
- Korean Quality Assurance
- Korean Localization
- Korean Proofreading
- Korean Copyediting
- Korean Grammar
- Korean Spelling & Punctuation
- Honorifics (Korean)
- Korean Speech Levels (존댓말/반말)
- Tone & Register Adaptation
- Terminology Management
- Style Guide Development
- Linguistic QA (LQA)
- Content Quality Assurance
- Translation Quality Assessment
- Korean-English Bilingual Communication
- Transcreation
- Cultural Localization (South Korea)
- UI/UX Localization
- Error Typology & QA Rubrics
- Annotation Guidelines
- AI Training Data QA
Only: South Korea
About SME Careers
SME Careers is the expert platform of SuperAnnotate, hiring remote specialists to train and evaluate AI models, from languages to law. The original posting is on their site.
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