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Ubiquiti

Data Quality Assurance Specialist

Taipei, Taiwan

Location
Taipei, Taiwan
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Data & AI
Pay
Not stated
Posted
3 months ago

About the role

About Ubiquiti

At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity.

Responsibilities (What he/she will do after join UI)

  • Review, correct, and organize data for accuracy and completeness.
  • Maintain files, documents, spreadsheets, and review records.
  • Check image, audio, video, and text data according to internal guidelines.
  • Identify and remove PII or other sensitive information.
  • Report data quality issues to the Data and AI/ML Operations Team.
  • Support additional data labeling tasks when required.

Minimum Qualifications (MUST-haves)

  • Basic computer and file-management skills.
  • Experience using Google Workspace. (i.e Google Doc)
  • Strong attention to detail.
  • Ability to follow instructions and handle confidential data.
  • Basic English reading and listening ability.

Preferred Qualifications (Nice-to-haves / Plus)

  • Previous experience in data entry, document processing, quality assurance, content review, or administrative support.
  • Experience reviewing spreadsheets or large amounts of structured data.
  • Familiarity with image, video, audio, or text annotation is a plus.
  • Familiarity with MacOS
  • Fluent in written English ability.

Source

Posted by Ubiquiti on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 01:04 UTC; the original is the reference.

View the original ad ↗

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