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successfactors

FIRST LINE MANAGER (FLM) L2

Wipro
Hyderabad, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
Free

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Job Description

Wipro Technologies is seeking a skilled and dedicated Annotation Quality & Operations Lead to join our BPS team. This pivotal role focuses on driving excellence in annotation quality, policy governance, and the operational management of autonomous systems datasets. The successful candidate will leverage deep expertise in LiDAR technology, sensor fusion, object tracking, and large-scale annotation processes to ensure our datasets meet the highest standards essential for advancing AI perception models.

Annotation Policy & Standards Management

Develop, maintain, and enhance annotation guidelines for: 3D LiDAR object labeling Multi-sensor data workflows Camera-LiDAR alignment Radar-supported annotations Semantic segmentation and object tracking Temporal consistency and trajectory labeling

3D LiDAR object labeling

Multi-sensor data workflows

Camera-LiDAR alignment

Radar-supported annotations

Semantic segmentation and object tracking

Temporal consistency and trajectory labeling

Define annotation taxonomies, ontologies, and edge-case handling guidelines.

Create SOPs, reviewer guides, decision frameworks, and annotation playbooks.

Convert engineering and model requirements into clear annotation specifications.

Ensure consistency across internal and external annotation teams.

Quality Management & Continuous Improvement

Establish quality metrics, acceptance criteria, and operational KPIs.

Design and implement scalable quality assurance frameworks.

Conduct regular audits to identify quality gaps and implement corrective actions.

Collaborate with engineering and data science teams to assess annotation impact on model performance.

Drive initiatives that improve annotation accuracy, consistency, and productivity.

Monitor reviewer calibration and quality alignment across teams.

Operations & Program Management

Partner with client teams, vendors, and operational stakeholders to execute annotation programs.

Support workforce onboarding, certification, and capability-building initiatives.

Analyse productivity trends, annotation challenges, and process improvement opportunities.

Recommend tooling enhancements and workflow optimisations.

Support large-scale dataset launches and quality readiness assessments.

Prepare and present operational reports and performance insights to stakeholders.

Cross-Functional Collaboration

Work closely with: Perception Engineers Data Scientists Simulation Teams Program Managers Tooling & Infrastructure Teams External Vendor Partners

Perception Engineers

Data Scientists

Simulation Teams

Program Managers

Tooling & Infrastructure Teams

External Vendor Partners

Participate in dataset reviews, model evaluation discussions, and annotation strategy planning.

Provide subject matter expertise during new feature development and system evaluation activities.

͏Required Qualifications

  • Bachelor’s degree in Engineering, Computer Science, Robotics, Data Science, GIS, or a related field.
  • 5+ years of experience in: Autonomous vehicle data annotation LiDAR labeling operations Quality assurance programs Annotation policy development
  • Autonomous vehicle data annotation
  • LiDAR labeling operations
  • Quality assurance programs
  • Annotation policy development
  • Strong understanding of: 3D point cloud data Sensor fusion systems Object tracking and trajectory labeling Autonomous system perception workflows
  • 3D point cloud data
  • Sensor fusion systems
  • Object tracking and trajectory labeling
  • Autonomous system perception workflows
  • Experience working with annotation platforms supporting: LiDAR Multi-camera systems Radar HD maps
  • LiDAR
  • Multi-camera systems
  • Radar
  • HD maps

Preferred Skills

  • Experience working on AI/ML data operations programs.
  • Knowledge of dataset quality measurement methodologies.
  • Experience driving operational excellence and process optimisation initiatives.
  • Ability to manage multiple projects in a fast-paced environment.

͏

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