The work
As a Japanese Content QA Team Lead, you will review AI-generated Japanese content and trainer quality-assurance work across AI training projects. You will give clear written feedback and help keep reviews aligned with language standards, style guides, and project rubrics.
This is presented as a Japanese team lead role. Review the duties and qualifications below before applying.
- Review Japanese content for grammar, spelling, fluency, tone, cultural fit, meaning, instruction-following, and formatting.
- Find repeated quality problems and escalate critical issues.
- Share guideline updates, workflow changes, and quality expectations with trainers and quality reviewers.
- Support onboarding, training calls, FAQs, style guides, trackers, quality notes, examples, and honeypots.
- Help reactivate inactive contributors and maintain scalable quality-assurance processes.
What it pays and takes
The role is part-time contractor work for candidates in Japan. It requires strong Japanese language skills and English communication for feedback and team coordination.
- Pay: $55 per hour.
- Time: 20 or more hours per week.
- Location: Open to candidates in Japan.
- Languages: Fluent Japanese with strong reading and writing skills, plus strong English communication.
- Experience: Entry level; experience in Japanese writing, editing, translation, localization, content QA, AI training, or related language-review work is required.
- Knowledge: Japanese grammar, kana and kanji usage, punctuation, keigo, tone, register, honorifics, and Japan-specific localization.
- Helpful experience: AI training, data annotation, large language model evaluation, rubric-based QA, or leading remote review teams.
- Tools: Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind artificial intelligence. People review model responses, rate quality, and prepare examples so AI systems can follow instructions and communicate more accurately. Experienced reviewers are valued for their language knowledge, careful judgment, and ability to apply detailed guidelines consistently.