Project Epsilon - Somali Quality Control Specialist

About the role

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 Somali - 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

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