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Localization Quality Assurance Jobs in Missouri (NOW HIRING)

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 ...

Ensures that all QA procedures are complete and within tolerances before proceeding with patient ... Utilizes sophisticated imaging equipment for precise tumor localization. * Knowledgeable in the ...

Ensures that all QA procedures are complete and within tolerances before proceeding with patient ... Utilizes sophisticated imaging equipment for precise tumor localization. * Knowledgeable in the ...

Localization Quality Assurance information

What are the typical challenges faced by localization quality assurance specialists, and how can they effectively address them?

Localization Quality Assurance (LQA) specialists often encounter challenges such as identifying nuanced linguistic errors, ensuring cultural relevance, and maintaining consistency across multiple languages. They also need to work with tight deadlines while coordinating with translators, developers, and project managers. To effectively address these challenges, LQA specialists rely on strong attention to detail, use specialized testing tools, and foster clear communication within their team. Regular collaboration and feedback loops help ensure high-quality localized content that meets both linguistic and functional standards.

What are the key skills and qualifications needed to thrive as a localization quality assurance specialist?

To thrive as a Localization Quality Assurance Specialist, you need strong language proficiency, attention to detail, and a solid understanding of localization processes, often supported by a degree in linguistics or a related field. Familiarity with translation management systems (TMS), CAT tools, and bug tracking software like JIRA is typically required. Outstanding problem-solving abilities, communication, and cultural awareness are essential soft skills for identifying nuanced issues and collaborating with global teams. These skills ensure that localized content meets both linguistic and functional standards, delivering a high-quality user experience across markets.

What is the difference between Localization Quality Assurance vs Localization Tester?

AspectLocalization Quality AssuranceLocalization Tester
Primary FocusEnsuring overall localization quality, consistency, and adherence to standards across projectsTesting specific localized content for bugs, errors, and functionality issues
ResponsibilitiesReviewing translations, style guides, and localization processes; coordinating with teamsExecuting test cases, reporting bugs, verifying fixes in localized content
Skills & CertificationsKnowledge of localization processes, QA methodologies, language skillsTesting tools, bug tracking, language proficiency
Work EnvironmentCollaborative, project management, cross-team communicationTechnical testing, software tools, detailed bug reporting

Localization Quality Assurance involves overseeing the entire localization process to ensure quality and consistency, while Localization Testers focus on testing specific localized content for errors. Both roles are essential but differ in scope and responsibilities.

What is localization quality assurance?

Localization Quality Assurance (LQA) is the process of testing and reviewing translated content to ensure it is accurate, culturally appropriate, and functions correctly in its intended context. LQA professionals check for linguistic errors, formatting issues, and technical glitches that may have occurred during the localization process. Their work helps ensure that products, such as software, websites, or games, deliver a seamless and high-quality experience to users in different regions and languages.
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Infographic showing various Localization Quality Assurance job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

AI Quality Control Specialist - Dutch Language (NL)

e2f, inc.

Other

Posted 19 days ago


Job description

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 - 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).
  • 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 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 skepticalable 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 chainstructured, measurable, and optimized. You will be part of a system where quality is not subjective, but defined, measured, and continuously improved.


e2f logo

About e2f

Sourced by ZipRecruiter

Industry

Translation services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2004

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