Project Epsilon - Urdu 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 Urdu 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, data review, data annotation or data labeling is a plus Reliable access to a computer and internet connection Work Format & Compensation Work Type: freelance, remote Hours/Schedule: 20 hours per week Compensation: $19.8/hr Duration: Long-term