Data Quality Analyst
D
DataForce by TransPerfectAI data quality
Remote in Quebec and Alberta, CanadaTemporary
Salary not disclosed
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Job Details
- Languages
- Native or near-native proficiency in one of the listed languages/locales (German, Italian, Dutch, Norwegian Bokmål, Danish, Swedish, Hebrew, Finnish, or Polish), with excellent reading, writing, listening, and comprehension skills; excellent written and verbal English communication and comprehension skills.
- Required Skills
- Quality Assurance
Requirements
- Have native or near-native proficiency in one of the specified languages or locales: German (Germany, Austria, or Switzerland), Italian (Switzerland), Dutch (Netherlands or Belgium), Norwegian Bokmål, Danish, Swedish, Hebrew (Israel), Finnish, or Polish.
- Have excellent reading, writing, listening, and comprehension skills in the selected language or locale.
- Have excellent written and verbal English communication and comprehension skills.
- Demonstrate strong analytical skills and exceptional attention to detail.
- Be able to follow structured guidelines and meet quality and productivity targets.
- Have organizational, communication, and time-management skills.
- Be able to work independently in a fast-paced environment.
- Experience in QA, content evaluation, relevance ranking, data annotation, localization, linguistic review, or content moderation is preferred.
- Experience evaluating websites, mobile apps, or software products is preferred.
- Familiarity with AI/ML, search relevance, or language data projects is preferred.
- Experience with spreadsheets, reporting tools, or project coordination is preferred.
- Familiarity with iOS devices and applications is a plus.
Responsibilities
- Evaluate and rate web applications, content relevance, and in-app workflows across platforms using defined quality guidelines.
- Assess functionality, usability, user experience, and content quality.
- Analyze, classify, and label content for accuracy and relevance.
- Identify issues, document findings, and provide actionable feedback.
- Conduct quality audits and support process improvements.
- Support data-rating activities, including coordination, scheduling, and testing.
- Maintain accurate records and collaborate with cross-functional teams.
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