Quality Control Specialist – AI Data Annotation

About the role

We are seeking a detail‑oriented Quality Control (QC) Specialist to support Project Epsilon, an AI data annotation initiative. In this remote‑friendly position you will ensure that the content created by Trainers—questions paired with images and their "golden" answers—meets the highest standards of accuracy and consistency.

Key responsibilities

• Review completed tasks submitted by Trainers, including the original question, the image, and the golden answer.
• Independently verify whether the golden answer is correct based on the associated image.
• Identify and flag answers that are incorrect, incomplete, ambiguous, or inconsistent with project guidelines.
• Provide clear, constructive feedback or corrections to 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.

Required profile

• Highly meticulous and observant, with a strong eye for detail.
• Ability to work independently and make accurate judgments.
• Excellent analytical skills for spotting inconsistencies.
• Comfortable working remotely and managing task‑based workloads.

Required skills