Auto Annotation Process Operations Graduate (TikTok Shop Governance & Experience) - 2026 Start (BS/MS)

Responsibilities

About our team
Global E-commerce Governance and Experience (GNE) is committed to building a secure and trustworthy platform for buyers, sellers, and content creators. As part of the GNE organization, the Content Moderation Team is now hiring a Auto Annotation Process Operations Specialist to optimize manual annotation workflows, integrate large model capabilities, and design automated annotation solutions to enhance the efficiency of e-commerce governance data production.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

What makes our graduate track unique?
Our graduate track is designed to develop cross-functional talent with deep expertise in governance and experience, while also cultivating broad, cross-domain understanding.

Within your first year, you'll rotate into carefully selected cross-functional teams, broadening your perspective, sharpening your problem-solving skills, and developing leadership skills to drive meaningful impact across the business. Each rotation's duration and pathway are thoughtfully designed to help you connect the dots across business areas, grow strategically, and build the versatility needed to thrive in a fast-evolving environment.

You'll get to:
- Go deep and go broad - Develop cross-functional agility and understanding to adapt to evolving markets and accelerate your growth.
- Solve real problems with global impact - Contribute to projects that shape the experience for millions of users and sellers around the world.
- Build what doesn't exist yet - shape new systems, processes, and policies in a fast-scaling business.

Responsibilities
- Conduct in-depth analysis of bottlenecks in existing manual annotation processes to identify opportunities for efficiency and quality improvement.
- Design "Machine Pre-labeling + Human Review" intelligent collaboration workflows, including but not limited to: Large model pre-labeling solutions, hard case auto-identification and distribution mechanisms, quality control strategies for human-AI collaboration.
- Drive intelligent upgrades of annotation tools, propose functional optimizations, and track implementation.
- Establish an automated annotation quality monitoring system and develop multi-dimensional quality inspection rules.
- Design annotation consistency calibration mechanisms to ensure reliable data quality.
- Develop hard case mining standards and continuously enrich high-risk case repositories.
- Regularly produce quality analysis reports to drive iterative improvements in annotation standards.
- Train teams on smart annotation tools to ensure proficient usage.
- Collect feedback from frontline annotators to continuously optimize human-AI collaboration workflows.
- Work closely with algorithm teams to align annotation standards with model training requirements.
- Coordinate cross-departmental resources to implement smart annotation solutions.