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