Eco Project Manager - AI Data Service Operations Singapore Global Operations Regular Project Intern

TikTok; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

TikTok is looking for an Eco Project Manager in Singapore to lead AI data annotation projects within its ADSO team. You will be responsible for managing project delivery, ensuring operational efficiency, and collaborating with various stakeholders. The ideal candidate has experience in project management, strong data skills, and excellent communication abilities.

Your role will include driving continuous improvement efforts and delivering strategic insights to leadership. If you thrive in fast-paced environments and have a track record in operational quality optimization, we encourage you to apply.

Qualifications

• Proven project/program management experience in AI data annotation environments.
• Strong data skills with proven ability to use data-driven approaches.
• Excellent stakeholder management with experience in fast-paced environments.

Responsibilities

• Manage the end-to-end delivery of AI data annotation projects.
• Translate product needs into labeling project requirements.
• Monitor dashboards and perform data analysis to maintain quality.
• Identify process gaps and implement workflow optimizations.

Skills

Project management in AI data annotation

Strong data skills (Excel, SQL)

Stakeholder management

Continuous improvement

Job description

Eco Project Manager – AI Data Service Operations

Employment Type: Regular

Job Code: A142747

Responsibilities

The AI Data Service and Operations (ADSO) team provides safety and non-safety data annotation services, search operation services, and customer services for ByteDance'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 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.

• 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.

Qualifications

Minimum Qualification(s)

• Proven project/program management experience in AI data annotation environments, large-scale data operations, content moderation, or related fields.
• 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).