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Salary
≈ $89k – $191k per year (Estimated)
Location
In office (Singapore)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Nov 26, 2025. TikTok scores B on the Alion truth index.

Overview
Company
Impact
Profile match
TikTok is a short-form video platform owned by the Chinese technology group ByteDance and launched internationally in 2016, growing further after the 2018 merger with the lip-sync app Musical.ly. Its recommendation feed surfaces content by engagement signals rather than social graph, which lets new creators reach large audiences quickly and made the app one of the most downloaded in the world. The company runs dual operating hubs in Singapore and Los Angeles and has built an advertising business, a live streaming economy and the TikTok Shop commerce marketplace on top of the video feed.

岗位职责 / Responsibilities

About the Team

The AI Data Service and Operations (ADSO) team provides safety and non-safety data annotation services, search operation services, and customer services for TikTok's international products, helping them to build their own data ecological security. In order to optimize user experience while upholding negative content governance on our platforms, the Eco Governance team within ADSO focuses on data labeling work to support online content strategies and AI/LLM model development.

As a Project Manager in the Eco Governance team, you will be responsible for managing the end-to-end delivery of AI data annotation projects, driving operational efficiency and quality. You will play a key role developing robust project implementation plans, monitoring and analysing project performance, coordinating with multiple stakeholders, and driving continuous improvement and process optimisation, ensuring that project targets and timelines are achieved.

Responsibilities

- Lead data annotation projects: manage the end-to-end execution of multiple projects, ensuring performance targets and SLAs are met.

- Serve as the primary stakeholder interface for key internal requestors: translate product or business needs into clear labeling project requirements, align on targets, support workforce management planning, and develop delivery plans.

- Drive delivery governance and cross-functional collaboration: establish operating rhythms, execution reviews, and escalation frameworks across QA, vendor, and business teams.

- Leverage data to manage performance: monitor dashboards, detect anomalies, and perform data and root cause analysis to maintain quality and efficiency.

- Lead continuous improvement efforts: identify process gaps, design and implement workflow optimizations, and partner with tooling teams to drive automation and scalability.

- Risk and change management: proactively identify delivery risks, propose mitigation plans, and lead through operational transitions.

- Deliver strategic reporting: synthesize project data into insights and recommendations for leadership and cross-functional partners.

任职要求 / Requirements

Minimum Qualification(s)

- 5 years of project/program management experience in AI data annotation environments, large-scale data operations, content moderation, or related fields.

- Proficiency in both spoken and written Mandarin and English is required. Mandarin is essential as the projects you will handle involve Mandarin-language content, while English serves as the primary working language.

- Track record of driving successful project and operational execution with cross-functional teams and third-party vendor partners.

- Strong data skills (Excel, SQL, dashboard development) and experience with using data-driven approaches to analyse performance and conduct root cause analysis.

- Experience in driving continuous operational quality optimization and process improvement.

- Ability to independently learn and own multiple projects/work streams, while being able to prioritize tasks and timelines.

- Excellent stakeholder management and communication skills, with proven experience collaborating with regional or global teams in a fast-paced environment.

Preferred Qualification(s)

- Familiarity with model/LLM training and evaluation.

- Experience working with or implementing machine labeling or hybrid (machine-human) labeling workflows.

- Certification in Project Management (PMP, Agile, or Lean Six Sigma).

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