Search Operations Quality Assurance Associate - Model Data

The Search-Model Data team at Tik Tok provides labeling services covering over 20 countries/regions and 18 languages. The team provides data labeling for training and testing of search models for various business segments, such as search ranking(user experience improvement), search recommendation, search ads, and search security (non-bottom line), helping to improve search results and optimise search ranking through efficient and accurate data labeling and professional analysis.

• You will perform daily operational tasks including quality inspection, policy and process optimization, queue assignment and handling escalations of the labelling project.
• You will work closely with respective project stakeholders and vendors to stay up to date with policy developments and provide feedback on implementation and execution.
• You will be performing daily audit on internal system and provide analysis of errors and feedback to respective teams (R&D & Product Manager).
• You will be monitoring the quality scores of agents and run root cause analysis to the management team.
• You will be monitoring project data, record daily output and quality scores, prepare data analysis/report of projects as well as validate reports and data provided to stakeholders/partners.
• You will be localizing the policy guidelines designing training schedule, coordinate and liaise with key stakeholders including BPO to ensure that all labellers successfully go-live within the targeted time frame.
• You will deliver process/product/policy training in classroom and/or virtually to new joiners.
• You will be involved in setting up product knowledge test, share result analysis and work with key stakeholders to improve the product knowledge of team.

Requirements:

Minimum Qualification(s):

• Bachelor's degree or above.
• Strong ability to collect, organize, and synthesize information from multiple inputs.
• Demonstrated analytical thinking and abstraction skills (able to identify patterns, themes, and key insights).
• Strong written communication skills, with the ability to compose structured, logical, and context-aware content.
• High attention to detail while maintaining awareness of the broader context and objective.
• Comfortable working with ambiguous instructions and evolving guidelines.
• Experience in roles involving research, content creation, LLM, editorial review, or analytical writing.

Preferred Qualification(s):

• Majors in data, statistics, computer science, law, linguistics, or social sciences.
• Experience in LLM quality assurance and labeling, with familiarity in training and test set construction workflows and production standards.