Alpheratz Project - Danish (Denmark) Translation Quality Reviewer

Posted 16 Days Ago
Be an Early Applicant
Hiring Remotely in Denmark
Remote
38-38 Hourly
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
The Role
Perform second-pass linguistic quality reviews of Danish customer-service content, validate severity assessments, identify systemic MT errors (tone, terminology), and provide actionable feedback for quality reporting and continuous improvement.
Summary Generated by Built In
We are looking for experienced language professionals to support an ongoing project focused on reviewing and refining Danish (Denmark) customer service content. This role involves improving machine-translated materials to ensure accuracy, natural language, and alignment with project guidelines.
 
What you’ll do
Conduct second-pass quality reviews to ensure overall linguistic accuracy and consistency across batches.
Validate and calibrate severity assessments to maintain alignment with quality standards.
Identify systemic MT quality issues, including recurring error patterns, tone mismatches, and terminology inconsistencies.
Provide high-level qualitative feedback that directly contributes to final quality reporting and continuous improvement efforts.
 
Project details
Language:  Danish (Denmark)
Content type: Customer service content (general)
Project duration: OngoingThis role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary.
Hourly rate: $37.5

Requirements

  • Native proficiency in Danish (Denmark) .
  • Experience in linguistic quality review, MT evaluation, or localization quality assurance.
  • Strong familiarity with linguistic QA frameworks and error classification.
  • Excellent attention to detail and a quality-focused, analytical mindset.
  • Ability to work independently and provide clear, actionable quality feedback.

Skills Required

  • Native proficiency in Danish (Denmark).
  • Experience in linguistic quality review, MT evaluation, or localization quality assurance.
  • Strong familiarity with linguistic QA frameworks and error classification.
  • Excellent attention to detail and a quality-focused, analytical mindset.
  • Ability to work independently and provide clear, actionable quality feedback.
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The Company
6,543 Employees

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