Assistant Project Manager

Mployee.me; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Mployee.me in India is seeking an experienced Assistant Project Manager Quality Assurance to lead QA/QC operations for large-scale data annotation programs. You will manage quality performance, mentor QC leads, and drive continuous improvement while coordinating with operations, training, annotation platform, and engineering teams.

The role demands strong analytical, stakeholder management, and leadership skills to ensure client guidelines are met, metrics are tracked, and quality issues are

Qualifications

• 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.

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.

Skills

QA leadership

Data QA/QC

Team management

Analytical

MS Excel

PowerPoint

Reporting dashboards

Stakeholder management

Education

Engineering/CS degree

Quality/Operations certification

Tools

MS Excel

PowerPoint

Reporting tools

Job description

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