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Ai quality control specialist – korean language

Lucca
e2f Inc.
Pubblicato il 13 maggio
Descrizione

AI Quality Control Specialist – Korean 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 – Korean Language 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 Korean across multiple task types (annotation, review, validation).
* Apply structured quality frameworks to assess:
* Accuracy and factual correctness.
* Utility (alignment with user intent).
* Participate Client Calls
Identify and Flag
* Hallucinations and misinformation.
* 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 Korean 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.

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