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AI Quality Control Specialist - Italian Language Specialist

Job in Town of Italy, Penn Yan, Yates County, New York, 14527, USA
Listing for: e2f Inc.
Full Time position
Listed on 2026-05-05
Job specializations:
  • Quality Assurance - QA/QC
    Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Town of Italy

AI Quality Control Specialist - Italian Language Specialist

Trust Scale is building scalable, high-quality human‑in‑the‑loop systems to power AI. It is looking for an AI Quality Control Specialist – Italian 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 Italian across multiple task types (annotation, review, validation).
  • Apply structured quality frameworks to assess:
    • Accuracy and factual correctness.
    • Utility (alignment with user intent).
    • Participate Clients 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 Italian 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 Trust Scale

At Trust Scale, 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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