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Project Epsilon - Kazakh Quality Control Specialist

WeloGlobal Kazakhstan Remote

Project Epsilon - Kazakh Quality Control Specialist

WeloGlobal

Kazakhstan · Remote

Description

About the Role
We are looking for detail-oriented Quality Control (QC) Specialist to support an AI data annotation project. In this role, you will review the work submitted by Trainers — pre-seeded questions paired with images and their corresponding "golden" answers — to confirm accuracy, consistency, and adherence to project guidelines.
This is a task-based, remote-friendly opportunity ideal for individuals who are highly meticulous, observant, and skilled at spotting errors or inconsistencies that others may miss.
What You'll Do

  • Review completed tasks submitted by Trainers, including the original question, the image, and the golden answer provided

-Independently verify whether the golden answer is correct based on the image
-Identify and flag incorrect, incomplete, ambiguous, or inconsistent answers
-Provide clear, constructive feedback or corrections to help maintain overall data quality
-Track recurring error patterns and report them to the project team
-Ensure Trainer output meets the project's quality bar before final sign-off
-Escalate unclear cases (e.g., illegible images, ambiguous questions) to the project team for resolution
What We're Looking For
-Native/Strong proficiency at  Kazakh
-Bachelor's degree required 
-Excellent attention to detail and a strong quality mindset
-Good visual observation and reading comprehension skills
-Ability to apply guidelines/rubrics consistently and objectively
-Strong written English communication skills, especially for giving feedback
-Prior experience in quality assurance, quality control, editing, proofreading, or data review is a plus
-Reliable access to a computer and internet connection
Work Format & Compensation 
-Work Type: freelance, remote 
-Hours/Schedule: 10 hours per week 
-Compensation: $29.04/hr
-Duration: Long-term 

Source listing

https://jobs.lever.co/weloglobal/a9351a1f-8672-4c0a-8ff8-3d8c67f09ead
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