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Posted May 27, 2026

AI Quality Control Specialist - Japanese Language Specialist

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About the Role: TrustScale is building scalable, high-quality human-in-the-loop systems to power AI. We are looking for an AI Quality Control Specialist - Japanese Language Specialist who can analyze, validate, and challenge AI-generated outputs with precision and consistency. This is not a proofreading role. You will act as a quality gatekeeper, ensuring outputs meet standards for accuracy, utility, and linguistic quality across large-scale workflows. What You Will Do: • Evaluate AI-generated content in Japanese across multiple task types (annotation, review, validation). • Apply structured quality frameworks to assess: • Accuracy and factual correctness. • Utility (alignment with user intent). • Language quality (fluency, tone, clarity). • Train vendors • Participate Clients Calls Identify and flag: • Hallucinations and misinformation. • Logical inconsistencies. • Cultural or linguistic mismatches. • Provide clear, structured feedback to improve upstream quality. • Detect patterns of errors across batches and contribute to quality insights. • Support calibration efforts to ensure consistent scoring across teams. • Contribute to guideline refinement and evaluation standards. Who You Are: • Professional proficiency in Japanese and strong command of English are required. • Highly analytical with strong critical thinking skills. • Comfortable working with ambiguous and evolving guidelines. • Detail-oriented with the ability to maintain consistency at scale. • Clear communicator, able to justify decisions and provide actionable feedback. • Naturally skeptical—able to question outputs and validate information. Preferred Background: • Journalism, editorial, or investigative research. • Linguistics, translation, or localization QA. • Content moderation / Trust & Safety. • Experience in AI data annotation, evaluation, or QA. What Success Looks Like: • High consistency in quality scoring across tasks. • Strong alignment with QA benchmarks. • Ability to detect non-obvious quality issues. • Feedback that improves annotator performance and overall output quality. • Contribution to a scalable, predictable quality system. Why TrustScale: At TrustScale, we operate AI talent as a supply chain—structured, measurable, and optimized. You will be part of a system where quality is not subjective, but defined, measured, and continuously improved. Apply tot his job Apply To this Job