Project Epsilon - Uzbek Quality Control Specialist

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 Uzbek
• 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

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