Technical Operator- II
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Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
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
Qualifications :
Education Requirements
Diploma or higher qualification in a relevant field such as:
Computer Science
Information Technology
Engineering (Computer Electrical Geospatial Robotics or related)
Data Science or Analytics
Geospatial or Remote Sensing disciplines
Or equivalent technical discipline
Additional Information :
- Familiarity with annotation tools such as CVAT SuperAnnotate and Labelbox.
- Understanding of ML metrics data quality principles and AV/ADAS ecosystems.
Remote Work :
No
Employment Type :
Contract
Key Skills
- Forklift
- Calipers
- Basic Math
- Heavy Equipment Operation
- Math
- Packaging
- Mechanical Knowledge
- Paving
- Fireworks
- Clamp Truck
- Excavator
- Manufacturing
About Company
Digital Divide Data (DDD) is a US-based , mission-driven enterprise with the goal of using technology and digital skills to bridge the divide between economically and socially marginalized youth and employment opportunities that lead to a sustainable and viable future. DDD identifies ... View more
