AI Quality Control Specialist - Japanese Language

**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.