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Technical Operator- II

Posted March 02, 2026
Contract Associate

Job Overview

Role Overview

The Operator Level 2 is a senior technical operator responsible for advanced 2D and 3D LiDAR segmentation, quality governance, and operational oversight. This role combines deep technical capability with analytical rigor and end-to-end program accountability. 

Responsibilities

Technical & Quality Oversight

  • Conduct advanced-level 2D/3D annotation and segmentation tasks

  • Perform structured quality audits

  • Identify systemic annotation errors and implement corrective actions

Operational Ownership

  • Take end-to-end accountability for program health

  • Allocate work effectively across operators

  • Ensure achievement of defined team targets:

    • Productivity

    • Quality

    • SLA

    • Efficiency

    • Utilization

  • Ensure strict adherence to process and quality frameworks

Governance & Stakeholder Engagement

  • Manage reporting, training, and policy adherence (where no separate POCs exist)

  • Interface professionally with global stakeholders

  • Manage multiple operational streams concurrently

Experience Requirements

  • Minimum 24 months of LiDAR labeling experience

  • Demonstrated advanced expertise in 2D and 3D LiDAR annotation and segmentation

Technical & Analytical Competencies

Advanced LiDAR & Segmentation Expertise

  • Advanced capability in complex 3D point cloud segmentation

  • Multi-class object classification

  • Handling occlusions and edge-case annotation scenarios

  • Precise cuboid alignment and spatial calibration

  • Tools & Systems

  • Proficient in MS Office or Google Suite

  • Working knowledge of JIRA or ticketing systems

  • Advanced Excel / Google Sheets capability, including:

    • Pivot tables

    • VLOOKUP

    • Data extraction and manipulation

  • Analytical & Root Cause Capability

  • Data-driven performance analysis

  • Application of:

    • Root Cause Analysis (RCA)

  • Understanding of operational metrics:

    • Shrinkage

    • Utilization

    • Productivity

    • SLA adherence

  •  
  • Application of detailed ontology and taxonomy standards

  • Reviewing and correcting segmentation inconsistencies

  • Identifying systemic annotation error patterns

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