Speak

Content Localization Specialist (Japanese / Korean)

Korea - Remote, South KoreaRemoteContractPosted 12 days ago
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ABOUT US

Our mission is to reinvent the way people learn, starting with language.

Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn’t been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages.

Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world’s leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.

ABOUT THIS ROLE

We are looking for a talented multilingual superstar (Japanese/Korean/English) with skills and backgrounds in translation and localization. The primary contribution is to localize our in-app content for the Japanese market. The secondary contribution is to create high-quality Korean content for the Japanese market with training and support.
We want an expert with excellent oral and written communication skills in both languages. This candidate should have a sharp linguistic understanding of both Korean and Japanese, with working professional proficiency in English.

WHAT YOU’LL BE DOING

- Content translation and localization

- Perform Japanese -Korean translation and localization for in-app learning and marketing content from a pedagogical perspective.

- Iterate and polish the translated/localized content based on QA tasks in pursuit of an optimal l...

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