Korean Quality Control Lead

About the role

You will define and enforce the Korean quality strategy for a major AI training initiative, taking ownership of linguistic accuracy and reviewer consistency. You own the end-to-end quality lifecycle for Korean locale tasks, from guideline application through to final audit and process refinement. This role requires you to act as the definitive authority on quality for Korean language outputs, resolving escalated issues and making final judgment calls. You will partner directly with global stakeholders to align Korean deliverables with overarching AI quality frameworks and standards. You are responsible for building the capability of your team through structured coaching and by establishing repeatable calibration practices. You will analyze complex, ambiguous content and determine appropriate quality outcomes without predefined scripts. You will ensure that all Korean language tasks reflect cultural relevance, tone accuracy, and stylistic appropriateness for the target audience.

Key facts

What you'll do

Establish and maintain a comprehensive quality framework tailored specifically for Korean language tasks within the AI training pipeline.

Lead a team of approximately 10 Quality Control Reviewers, coordinating assignments, workload balance, and performance tracking.

Audit completed reviews to verify adherence to project guidelines, identifying patterns of error and opportunities for improvement.

Evaluate reviewer feedback to ensure consistency, completeness, and alignment with established quality benchmarks.

Serve as the central escalation point for complex quality questions, providing timely and definitive resolutions.

Design and facilitate calibration sessions that use real examples to sharpen reviewer understanding and reduce ambiguity.

Monitor key quality metrics and trends, translating data insights into actionable coaching plans for individual reviewers.

Identify emerging risks in the Korean locale and implement proactive measures to prevent recurring issues.

Support the onboarding of new Quality Control Reviewers by developing training materials and hands-on practice exercises.

Provide structured, evidence-based feedback to reviewers, focusing on specific behaviors and concrete improvements.

Collaborate with global Quality Teams to standardize documentation and adapt processes for the Korean linguistic and cultural context.

Contribute to the refinement of project guidelines by flagging ambiguities and proposing clarifications based on observed execution.

Analyze ambiguous and nuanced content to determine appropriate quality judgments in the absence of clear rules.

Promote a culture of continuous learning within the team by sharing best practices and lessons learned from quality audits.

Requirements

You possess native-level proficiency (CEFR C2 or equivalent) in Korean, with an intuitive grasp of formal and informal registers.

You demonstrate professional written and spoken English, enabling clear communication with global stakeholders and documentation of quality decisions.

You bring a minimum of 2 years of experience in AI training, data annotation, linguistic quality, or a closely related quality assurance discipline.

You have at least 1 year of proven experience leading or supervising reviewers, annotators, or a quality-focused team.

You have a strong understanding of linguistic quality principles, including grammar, fluency, tone, register, and cultural nuances specific to Korean.

You are experienced in delivering structured, evidence-based feedback that helps others improve their quality performance.

You excel in analytical thinking, capable of evaluating complex tasks where there may not be a single correct answer.

You show strong organizational skills, managing multiple priorities and deadlines in a fast-paced remote work environment.

You are comfortable making high-quality decisions based on incomplete information while maintaining strict adherence to guidelines.

You communicate in a clear, professional manner, balancing empathy with accountability when coaching team members.

Nice to have

A degree in Linguistics, Computer Science, Engineering, or another analytical field that supports structured problem-solving.

Hands-on experience with Large Language Models (LLMs), RLHF, AI data annotation, prompt evaluation, or NLP projects.

Familiarity with annotation platforms and quality management processes specific to AI datasets.

Experience working with Korean language data in AI or machine learning environments.

Practical notes

This role operates on a commitment of 30-40 hours per week.

The position is based in Japan but allows for remote work.

Job Type is a fixed-term contract with a start date of ASAP.