Asst. Manager/Project Manager (Annotation Project-AI/ML Project)

Role- Asst. Manager/Project Manager (Data Annotation Project/ AIML Project)

Job Location - Ranchi (WFO)

Role Overview

We are seeking a proactive and results-oriented professional to lead large-scale data annotation and labeling projects involving both image and video data. The role demands strong project management, operational excellence, stakeholder coordination, and team leadership to ensure timely and high-quality data delivery for AI/ML projects.

Key Responsibilities

• Define and manage project scope, POCs/Pilots, timelines, resource plans, and budgets for annotation and labeling projects.
• Collaborate closely with internal teams such as AI/ML, SA, GSM and Operations to ensure seamless project execution.
• Oversee end-to-end workflows for image and video annotation including bounding boxes, segmentation, classification, object tracking, and frame-level labeling.
• Implement and maintain robust Quality Control (QC) processes to ensure data accuracy, consistency, and efficiency.
• Track and analyze key project metrics (throughput, accuracy, turnaround time, and cost) and present regular performance updates to leadership.
• Identify process bottlenecks and implement continuous improvement initiatives focused on tools, workflows, automation, and workforce training.
• Ensure adherence to data security, confidentiality, and privacy standards across all annotation activities.
• Manage SLAs, risk mitigation, and escalations to maintain smooth operations and client satisfaction.
• Maintain detailed project documentation such as project setup , progress reports, and change management logs, risk register and prepare presentations for monthly, quarterly, and annual business reviews.
• Oversee daily center operations, ensuring adherence to shifts, productivity goals, and compliance with security and quality standards.
• Monitor performance indicators such as attendance, shrinkage, and utilization to optimize center efficiency.
• Coordinate with HR, Admin, and IT teams to ensure operational readiness, infrastructure support, and workforce availability.
• Conduct regular team reviews, process audits, and feedback sessions to drive engagement and continuous improvement.
• Support onboarding, and training of annotation staff to build strong and capable delivery teams.
• Lead, mentor, and motivate large, distributed teams to achieve quality and productivity targets.
• Foster a performance-driven, collaborative work culture aligned with organizational goals.
• Drive skill development, operational discipline, and accountability within the team.
  

Required Qualifications & Skills

• Bachelor’s degree in any stream
• Minimum

  5+ years

  of experience managing data annotation, labeling, or AI/ML data operations projects.
• Proven expertise in project planning, scheduling, budgeting, and workforce management.
• Strong understanding of annotation techniques such as semantic segmentation, bounding boxes, polygon annotations, 3D Lidar
• Practical experience with annotation tools like

  Dataloop, CVAT, Labelbox

  , or similar platforms.
• Analytical and data-driven mindset with the ability to interpret performance metrics and drive operational improvements.
• Excellent communication, stakeholder management, and presentation skills.
• Demonstrated leadership in managing large, distributed, or multi-site teams.
• Strong understanding of data security, privacy, and compliance frameworks.
• Certification in

  PMP, PRINCE2, or Six Sigma

  preferred but not mandatory.
• Experience in

  automotive, AI/ML, or data operations

  domains is an added advantage.