Project Epsilon - Somali 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 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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