Search Model Data Product Operations - Trust & Safety

Responsibilities

About Trust & Safety
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.

About the team
The Search Model Data Team is responsible for managing data labeling projects covering over 20 countries/regions and 18 languages. The data labeled will be provided to the R&D team, the R&D team will apply human labeled data to train and test algorithm models for various search business segments, helping to optimize the search engine, launch new features and improve user experience when using the search function on our platform.

By thoroughly understanding the project background and model optimization direction as well as combining business experience and localized market characteristics, The Search Model Data Team is responsible for end-to-end project management throughout the entire project life cycle, including formulate project planning and labeling strategies/SOP, forecast resource and manpower, promote the implementation of labeling guidelines, and ensure the project delivery result.

It is possible that this role will be exposed to harmful content as part of the core role/as part of project/ in response to escalation requests/by chance.
This may occur in the form of images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals.

Responsibilities:
1. Perform as the product operations role; manage the operation of labeling projects that deliver training/testing data for machine learning models, with the ultimate goal of optimizing users' search results.
2. Perform as the project owner; undertake various tasks throughout the entire project life cycle.
3. Review and reconcile the demands received to formulate customized project management plans and design proper relevant SOPs.
4. Work with Search RD, PM teams; formulate project guidelines and promote the execution and accomplishment of model data labeling projects.
5. Work closely with the global data delivery team; supervise the implementation of project mechanism, data delivery and quality assurance.
6. Conduct ROI analysis and regular review based on the model performance of machine learning models.
7. Foresee possible risks, prepare necessary risk management procedures and react to unexpected issues in a timely manner.

Qualifications

Minimum Qualifications:
- 3 years of professional experience in project operations or project management within internet-related industries.