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

8 - 13 years

8 - 17 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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.

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