TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
We are looking for talented individuals to join us for a graduate program in 2025. Graduate programs at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.
About the team & role
The Linguistic Intelligence team is responsible for undertaking language-related data annotation projects to support infrastructure model development to empower international products, specialising in multilingual and multimodal development such as multi-language recognition, cross-language understanding, cross-modal translation and multimodal learning.
As a Project Specialist in the Linguistic Intelligence team, you will be the project owner driving end to end project management (from requirement gathering to project closure) related to large-volume data annotation. You will be working closely with cross functional and global stakeholders to drive the success of data annotation services for all of the company's international products, which can also empower international products to optimize their features and create customer-centric experiences for their users.
Responsibilities
1. Responsible for the full life cycle management of key projects of the AI data service team
2. Able to deliver the project on time with high quality and analyse project delivery and efficiency through quantitative and qualitative analysis.
3. Proactively collaborate with cross-functional departments for project evaluation, resources coordination and subsequent works.
4. Deeply understand the implementation of frontline labelling teams and work with the demand side to develop and optimise labelling guidelines and SOPs.
5. Conduct quality management, progress management and risk management by data analysis.
6. Continuously optimise the project process and improve the efficiency of project implementation through combining with business characteristics.