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AI Quality Control Specialist - Italian Language Specialist
Job in
Town of Italy, Penn Yan, Yates County, New York, 14527, USA
Listed on 2026-05-05
Listing for:
e2f Inc.
Full Time
position Listed on 2026-05-05
Job specializations:
-
Quality Assurance - QA/QC
Data Analyst
Job Description & How to Apply Below
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.
WhatYou 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.
- 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.
- 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.
- Journalism, editorial, or investigative research.
- Linguistics, translation, or localization QA.
- Content moderation / Trust & Safety.
- Experience in AI data annotation, evaluation, or QA.
- 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.
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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