Project Epsilon - Twi 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 Twi - 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: $28.8/hr  - Duration: Long-term   #L1-CC1