Japanese Quality Control Lead

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Welo Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Welo Global is a multilingual content, data, and AI solutions company that provides enterprise-focused localization, regulated translation, and AI training data through a family of brands (including Welocalize, Park IP, Welo Life Sciences, Welo Data, and Adapt). It combines domain expertise, proprietary AI tools (e. g. , the Opal suite), governed global workforces, and compliance certifications to support use cases across global marketing, intellectual property and legal translations, life sciences regulatory and clinical documentation, and AI model development. The company emphasizes scalable, AI-enabled platforms and workflows to deliver high-quality multilingual content and structured datasets in 300+ languages for corporate clients.

📋 Description

• Lead and support a team of approximately 10 Quality Control Reviewers, ensuring consistent quality standards across the Japanese locale. • Review reviewer feedback, audit quality, and ensure alignment with project guidelines. • Act as the primary quality point of contact for the Japanese locale, resolving quality questions and escalating complex issues when necessary. • Conduct calibration sessions and provide structured coaching to improve reviewer performance. • Monitor quality trends, identify risks, and proactively address performance gaps. • Support the onboarding and development of new Quality Control Reviewers. • Collaborate with global Quality Teams to improve processes, documentation, and quality consistency across AI training tasks.

🎯 Requirements

• Native-level proficiency (CEFR C2 or equivalent) in Japanese. • Professional written and spoken English. • Minimum 2 years of experience in AI training, data annotation, linguistic quality, localization QA, or a related quality assurance role. • At least 1 year of experience leading or supervising reviewers, annotators, or quality teams. • Strong understanding of linguistic quality, including grammar, fluency, tone, register, and cultural nuances. • Experience providing structured, evidence-based feedback and coaching others to improve quality. • Excellent analytical skills with the ability to evaluate complex tasks where there may not be a single correct answer. • Strong organizational skills and the ability to manage multiple priorities in a fast-paced remote environment. • Nice to have: • Degree in Linguistics, Computer Science, Engineering, or another analytical field. • Experience with Large Language Models (LLMs), RLHF, AI data annotation, prompt evaluation, or NLP projects. • Familiarity with annotation platforms and quality management processes for AI datasets.