Assistant Project Manager

We are looking for an experienced Assistant Project Manager Quality Assurance to lead Quality Assurance and Quality Control operations for large-scale Data Annotation / AI-ML data programs.
The role will be responsible for managing quality performance, leading QC teams, driving client quality requirements, resolving quality issues and implementing continuous improvement initiatives.

Key Responsibilities

• Lead end-to-end QA/QC operations for data annotation projects, ensuring adherence to client guidelines and quality standards.
• Manage and mentor QC Leads, SMEs, Quality Analysts and Team Leads.
• Monitor key quality metrics including Production Quality, QC Quality, Post-QC Quality, FTPR, Error Rate, Rework, and Client Rejections.
• Plan QC resources, sampling, audits, and coverage based on project volume and delivery requirements.
• Conduct RCA and CAPA for quality issues and drive corrective and preventive actions.
• Identify recurring quality gaps and implement process improvements to reduce errors, rework, and client rejections.
• Partner with Operations, Training, Annotation Platform, and Engineering teams to improve quality and operational efficiency.
• Drive initiatives around automation, Auto-QC, AI-assisted quality checks, and data-driven quality monitoring.
• Manage client quality discussions, escalations, feedback, and periodic quality reviews.
• Prepare and present daily/weekly/monthly quality reports, dashboards, and performance reviews.
• Ensure timely escalation and resolution of critical quality and delivery risks.
• Build a strong quality culture through training, feedback, calibration, and re-certification programs.

Required Experience & Skills

• 610 years of experience in Quality Assurance, Quality Control, Data Operations.
• Prior experience in Data Annotation / Data Labelling / AI-ML Data Operations is highly preferred.
• Strong experience in team management and operational leadership.
• Good understanding of quality metrics, audits, sampling, error analysis, and quality processes.
• Hands-on experience in RCA, CAPA, process improvement, and quality governance.
• Strong analytical and problem-solving skills with proficiency in MS Excel, PowerPoint, and reporting/dashboard tools.
• Excellent communication, stakeholder management, and presentation skills.
• Experience working with global/international clients will be an advantage.

Experience in one or more of the following areas will be an added advantage:
• Computer Vision / Image & Video Annotation
• LiDAR / 3D Data Annotation
• NLP / Text Annotation
• Generative AI / LLM Data
• Autonomous Driving / ADAS
• Geospatial / Aerial Data
• AI-assisted Quality / Automated QC

Education

• Bachelor’s/Master’s degree in Engineering, Computer Science, Technology, Management, or a related field.
• Relevant certification in Quality, Operations, or Project Management will be an added advantage.

Key Competencies

Quality Leadership | People Management | Client Management | RCA & CAPA | Process Improvement | Data Analytics | Operational Governance | Problem Solving | Communication | Ownership