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TikTok

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Search Operations Quality Assurance Associate, Model Data - AI Data Service Operations

Seoul

Job Description

About the Team
The AI Data Service and Operations (ADSO) team is responsible for providing safety and non-safety data annotation services and search operation services for all of the company's international products, which can also help international products build their own data ecological security.

- Inspect labeled data on time to ensure overall quality
- Thoroughly interpret and apply complex guidelines to the evaluated content
- Localize and update labeling guidelines and deliver training and calibration meetings
- Conduct calibration meetings with the labeling team (BPO/Vendor): analyze different cases; record and evaluate their performance to achieve the target; and offer solutions and suggestions for the current problem to help the team improve the accuracy rate and alignment
- Oversee the performance of BPO QA and manage project outcomes through effective collaboration and strong partnerships
- Work and interact closely with POC and other stakeholders to provide timely and quality feedback on SOP/guidelines/data quality to optimize existing processes and to ensure overall project success

Minimum Qualifications
- Completion of Bachelor’s degree or above
- At least 1 year of professional work experience in data labelling, QA, or quality improvement
- Proficiency in English and Korean as working languages.
- An in-depth understanding of local culture and familiarity with the internet usage habits of local users
- Project management skills, familiarity with RCA and data analysis
- Familiar with common office software

Preferred Qualifications
- Deep understanding of search engine mechanisms, AI, and machine learning
- Knowledge of the TikTok App, functions, and services
- Knowledge about search engines, familiarity with social media platforms
- Ability to learn quickly, adapt to a fast-paced environment and respond to day-to-day challenges
- Strong interpersonal skills, excellent attention to detail, precision and accuracy
- Familiar with common office software

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About the job

Posted on

Oct 25, 2025

Apply before

Nov 24, 2025

Job typeFull-time
CategoryData Science

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