Lead Data Annotation Specialist
3 weeks ago
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, 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.
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.
Team Introduction
The TikTok privacy governance team is affiliated with the TikTok PDPO (Privacy and Data Protection Office), providing operational support for TikTok privacy security construction and privacy risk governance projects, including data security, APP security, application security, etc., and is committed to high-quality and efficient operation execution .
Job Responsibilities:
- Support data classification and taxonomy methods and standards, understand business, cooperate with data team. Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate.
- Support AI team to improve algorithm recognition and machine learning ability, analyze badcase of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutions
- Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database
- Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual or automated standards
- Participate in the functional optimization design of the annotation platform
- Majored in Computer Science or IT related, with research and development in testing, data analyst or DBA experience, familiar with common data storage technologies.
- Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes
- Be able to effectively do repetitive tasks and effectively with a minimum of errors
- Knowledge of artificial intelligence and machine learning. Strong interest is preferred
To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
We are passionate about this and hope you are too.-
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