Quality Assurance for AI Data Labeling

We’re expanding our AI data-labeling projects and are looking for Quality Assurance specialists to review, verify, and ensure accuracy in AI training datasets.

(Note: This role is specifically for AI Data Annotation QA, not Software QA).
Role:

Data Labeling QA (Quality Assurance)

Language Requirement:

Korean

What You’ll Do:

Carefully review provided data (text, images, or videos).
Verify and evaluate search result annotations and other AI-generated outputs.
Label or classify content based on detailed project guidelines.
Identify and flag factually incorrect, sensitive, inappropriate, or unclear content.
Ensure accuracy, consistency, and adherence to project standards.
Provide clear feedback where necessary.

Requirements:

Fluent in Korean.
Prior experience working with AI companies/platforms (e.g., Outlier, Appen, Clickworker, etc.).
Strong logical thinking, fact-checking, and reasoning skills.
Excellent attention to detail and ability to follow complex instructions.
Strong communication skills, including asking clarifying questions when needed.
A genuine interest in technology and artificial intelligence.