Job Description

The position is responsible for leading the execution, quality assurance, and consistency of data annotation work across a team of Data Annotators. It ensures that annotated datasets meet high standards of accuracy, completeness, and compliance with established guidelines to support machine learning model training and robotics system improvement. The role serves as a key quality control and escalation point, supports team coaching and capability development, and collaborates closely with operations and engineering teams to improve annotation workflows, data quality, and overall system performance.

KEY RESPONSIBILITIES 

• Perform high‑accuracy review, labeling, and annotation of complex robot‑generated data, including images, videos, system logs, and tele‑operation recordings.
• Ensure strict adherence to annotation guidelines, SOPs, and quality standards across all datasets and projects.
• Conduct quality assurance reviews of Data Annotators’ outputs to ensure accuracy, consistency, and compliance.
• Identify edge cases, inconsistencies, ambiguities, and robot failure modes, and provide clear, actionable feedback for escalation.
• Validate data integrity and ensure annotated datasets meet quality requirements for machine learning pipelines.
• Monitor recurring errors and quality trends, and recommend corrective actions to improve annotation accuracy and system performance.
• Provide coaching, guidance, and technical support to Data Annotators to improve productivity and quality.
• Conduct onboarding and training for new team members on tools, workflows, and annotation standards.
• Translate complex requirements into clear, actionable instructions for the annotation team.
• Support the development of coaching and training materials based on observed quality gaps and performance insights.
• Oversee daily team coordination, including task prioritization, workload distribution, and delivery monitoring.
• Ensure consistent interpretation and application of annotation standards across the team.
• Collaborate with Operations Analysts, Team Leads, and technical stakeholders to improve workflows and data outcomes.
• Escalate systemic issues, tool limitations, and process gaps impacting quality or delivery.
• Maintain accurate reporting of team output, quality trends, and operational insights.
• Ensure adherence to data security, confidentiality, safety, and compliance requirements at all times.

 QUALIFICATIONS & REQUIREMENTS: 

• You must have a bachelor’s degree or at least two (2) years of college or university education.
• You must have experience in data annotation, quality assurance, operations, or team support roles; at least 2 years of leadership exposure is a must.
• You must be comfortable working with annotation tools, platforms, dashboards, spreadsheets, and technology‑driven systems.
• You must have strong attention to detail with proven ability to detect errors, inconsistencies, and quality issues.
• You must have analytical and problem‑solving skills to identify patterns, root causes, and recurring data issues.
• You must have the ability to guide and support team members to meet quality and delivery standards.
• You must have clear, structured communication skills for providing feedback and coordinating with stakeholders.
• You must be organized, disciplined, patient, and capable of handling high‑accuracy, repetitive work while managing team responsibilities.
• You must be adaptable and able to thrive in a fast‑paced, technology‑driven environment.
• You may have exposure to robotics, AI, machine learning workflows, gaming, simulation environments, or data security practices.

Work Schedule: Shifting

Work Setup: Onsite, Muntinlupa City