Project Epsilon - Sinhala 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 Sinhala
- 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