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Language Inspired

Language Quality, AI Specialist

Language Inspired

. Own the language quality lifecycle across human and AI-assisted workflows .

Posted 9/24/2026full-timeRemoteMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing the language quality lifecycle, utilizing quality frameworks such as MQM and ISO standards, and improving workflows across TMS platforms and AI tools. Proficient in analyzing quality KPIs and providing actionable insights to enhance localization processes.

Highest-signal resume keywords
Fluency In EnglishLinguistic Degree3+ Years Experience In LocalizationHands-On Experience With TMS PlatformsStrong Analytical And Reporting Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
MQMISO 5060ISO 17100ISO 18587Translation Memory MaintenanceTermbase ManagementQuality EvaluationAI/MT Output EvaluationData-Driven ImprovementRisk-Based Quality Models
Soft Skills
Strong Multilingual AwarenessClear DocumentationEffective CommunicationObjective Decision-MakingIndependent Work Management
Tools & Technologies
TMS PlatformsMT EnginesAI ToolsSpreadsheet AnalysisCloud-Based TMS Platforms
Industry Keywords
Localization IndustryI18nL10nG11nQuality KPIsStyle GuidesOnboarding MaterialsMultilingual Language ProgrammesContent TypesTechnical Content

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Own the language quality lifecycle across human and AI-assisted workflows
  • Evaluate linguistic quality using MQM, ISO 5060, ISO 17100, ISO 18587, and client-specific scorecards
  • Run recurring AI quality evaluation cycles, calibrate evaluators, validate findings, and track improvement
  • Design, maintain, and improve validation and evaluation workflows across multiple TMS platforms and MT/AI engines
  • Define quality tiers and estimate effort based on content type, sensitivity, and business impact
  • Assess the health of translation memories, termbases, and style guides, and coordinate maintenance with linguists and technical teams
  • Handle client and internal feedback cases and make objective, consistent, well-documented quality decisions
  • Track quality KPIs, identify trends and root causes, and propose data-driven improvements and AI-enabled workflows
  • Prepare structured quality analyses and feedback reports for linguists, internal teams, and clients
  • Act as the go-to quality contact for key clients
  • Contribute to style guides, termbases, onboarding materials, and quality guidelines
  • Work with Client Solutions & Support, linguist teams, the Global Head of Language Talent, and cross-functional teams to align quality expectations and improvement actions
  • Improve, test, and document language quality practices across human and AI-assisted workflows

Requirements

What you’ll need
  • Fluency in English
  • Linguistic degree (translation, linguistic studies)
  • 3+ years of experience owning language quality in the localization industry
  • Strong multilingual awareness: a solid understanding of i18n/l10n/g11n across markets, fit-for-purpose content solutions, and how languages work, including ones you don't speak
  • Hands-on experience with quality frameworks and standards such as MQM, ISO 5060, ISO 17100, and ISO 18587
  • Experience assessing, maintaining, and improving translation memories, termbases, and style guides
  • Hands-on experience with TMS platforms, MT engines, and AI tools
  • Ability to evaluate AI/MT output, judge fitness for purpose, and use findings to improve quality and reduce risk
  • Strong analytical, reporting, and communication skills
  • Confidence with spreadsheet analysis, clear documentation, and presenting findings to clients and external stakeholders
  • Ability to manage recurring quality work independently, set priorities, and remain objective and consistent
  • Additional languages are a strong advantage
  • Experience with multiple cloud-based TMS platforms, MT engines, and AI/LLM tools in localization is a strong advantage
  • Experience applying risk-based or tiered quality models across content types, including software, technical content, finance, legal, and life sciences, is a strong advantage
  • Experience calibrating language experts or managing multilingual language programmes is a strong advantage

Benefits

Comp & perks
  • Remote-first workplace with freedom, trust & accountability
  • Work-life balance and a supportive company culture
  • Best software & hardware
  • Real impact – shape quality processes and influence client success
  • A unique experience in a dynamic, multicultural environment and a thriving, fast-paced industry
  • Competitive salary based on experience & expertise
  • Seriously great colleagues