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AI Quality Control Specialist - Dutch Language; NL

Job in Town of Belgium, Belgium, Ozaukee County, Wisconsin, 53004, USA
Listing for: e2f Inc.
Full Time position
Listed on 2026-07-25
Job specializations:
  • Quality Assurance - QA/QC
    Data Annotation/ AI Labeling
  • IT/Tech
    Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 60000 - 90000 USD Yearly USD 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: AI Quality Control Specialist - Dutch Language (NL)
Location: Town of Belgium

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AI Quality Control Specialist - Dutch Language (NL)

About the Role:
Trust Scale is building scalable, high-quality human-in-the-loop systems to power AI. We are looking for an AI Quality Control Specialist - Dutch Language (NL) 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 Dutch 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 Dutch 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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