Project Epsilon - Kazakh 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  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