Data Annotation Team Leader

X STAR TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology company in Singapore is seeking a Data Annotation Team Lead to manage and mentor a team of data annotators. The successful candidate will be responsible for ensuring quality standards, managing workflows, and collaborating with cross-functional teams. Ideal candidates should have experience in data annotation and strong leadership skills, with an emphasis on quality and process improvements.

Qualifications

• Experience in data annotation or data operations.
• Demonstrated ability to lead and manage teams effectively.
• Strong organisational skills to handle multiple tasks.

Responsibilities

• Lead and mentor a team of data annotators.
• Plan and manage annotation tasks and workflows.
• Ensure quality standards and compliance with data governance.

Skills

Data annotation experience

People management

Organisational skills

Communication skills

Attention to detail

Analytical skills

Job description

Lead, coach and mentor a team of data annotators to meet productivity and quality targets.

Plan, assign and prioritise annotation tasks, manage workflows and scheduling to meet project deadlines.

Define, review and enforce annotation guidelines, quality standards and best practices to ensure consistency, accuracy and reliability of annotated data.

Monitor annotation performance metrics (e.g., throughput, accuracy, error rates), generate reports, identify issues/trends and drive corrective actions.

Collaborate with data scientists, machine learning engineers, product/engineering teams to understand annotation requirements and ensure annotations meet technical/modeling needs.

Provide training and onboarding for new annotators, continuous development of existing team members (feedback, coaching, one‑on‑ones).

Identify process improvements, workflow optimisations, tools or automation opportunities to increase annotation efficiency, quality and scale.

Manage stakeholder expectations: communicate status, elevate risks/issues, support recruitment/hiring when needed.

Ensure compliance with data governance, privacy, ethical annotation standards.

Qualifications & Skills

Required:

• Experience in data annotation / data labeling / data operations environment.
• Demonstrated people‑management experience (leading teams, performance management, coaching).
• Strong organisational and coordination skills; ability to manage multiple workflows and priorities effectively.
• Excellent communication and interpersonal skills; capable of working cross‑functionally.
• Strong attention to detail, quality‑oriented mindset, good analytical skills to review performance metrics and drive improvement.

Preferred:

• Experience in AI/ML domain (language, vision, speech); familiarity with annotation tools/platforms.
• Experience in process improvement, scaling annotation operations, working with large datasets.
• Experience with vendor/contractor management (if relevant).
• Experience working in fast‑moving, dynamic environments, and adapting to shifting priorities.