Senior Associate in LiDAR Segmentation and Quality Governance

Digital Divide DataNairobi

On-site Contract

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Experience Level

Mid to Senior

Qualifications

Education RequirementsA Diploma or higher qualification in a relevant field, such as:Computer ScienceInformation TechnologyEngineering (Computer, Electrical, Geospatial, Robotics, or related)Data Science or AnalyticsGeospatial or Remote Sensing disciplinesOr equivalent technical discipline

About the job

The Senior Associate plays a pivotal role in advanced 2D and 3D LiDAR segmentation, ensuring quality governance and providing operational oversight. This position demands a blend of deep technical expertise, analytical precision, and comprehensive program accountability.

Key Responsibilities

Technical & Quality Oversight

Execute advanced 2D/3D annotation and segmentation tasks
Conduct structured quality audits
Detect and rectify systemic annotation errors

Operational Ownership

Assume full accountability for program health
Effectively distribute work among team operators
Ensure the attainment of defined targets in:
- Productivity
- Quality
- Service Level Agreements (SLA)
- Efficiency
- Utilization
Maintain strict compliance with process and quality frameworks

Governance & Stakeholder Engagement

Manage reporting, training, and policy adherence
Professionally interact with global stakeholders
Simultaneously manage multiple operational streams

Experience Requirements

At least 24 months of LiDAR labeling experience
Proven advanced skills in 2D and 3D LiDAR annotation and segmentation

Technical & Analytical Competencies

Advanced LiDAR & Segmentation Expertise

High proficiency in complex 3D point cloud segmentation
Multi-class object classification capabilities
Experience in managing occlusions and edge-case scenarios
Accurate cuboid alignment and spatial calibration
Tools & Systems Proficiency
Familiarity with MS Office or Google Suite
Experience with JIRA or similar ticketing systems
Advanced skills in Excel/Google Sheets, including:
- Pivot tables
- VLOOKUP
- Data extraction and manipulation
Analytical & Root Cause Capability
Proficient in data-driven performance analysis
Application of:
- Root Cause Analysis (RCA)
Understanding of operational metrics such as:
- Shrinkage
- Utilization
- Productivity
- SLA adherence
Application of detailed ontology and taxonomy standards
Review and correction of segmentation inconsistencies
Identification of systemic annotation error patterns

About Digital Divide Data

Digital Divide Data (DDD) stands at the forefront of the BPO sector, delivering innovative ML data solutions and comprehensive content services to Fortune 500 companies and prestigious academic institutions worldwide. DDD uniquely offers end-to-end data creation, curation, labeling, and annotation services, ensuring exceptional quality regardless of project scale.

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Senior Associate in LiDAR Segmentation and Quality Governance

Digital Divide Data

Contract|On-site|Nairobi

Role OverviewThe Senior Associate plays a pivotal role in advanced 2D and 3D LiDAR segmentation, ensuring quality governance and providing operational oversight. This position demands a blend of deep technical expertise, analytical precision, and comprehensive program accountability.Key ResponsibilitiesTechnical & Quality OversightExecute advanced 2D/3D annotation and segmentation tasksConduct structured quality auditsDetect and rectify systemic annotation errorsOperational OwnershipAssume full accountability for program healthEffectively distribute work among team operatorsEnsure the attainment of defined targets in:ProductivityQualityService Level Agreements (SLA)EfficiencyUtilizationMaintain strict compliance with process and quality frameworksGovernance & Stakeholder EngagementManage reporting, training, and policy adherenceProfessionally interact with global stakeholdersSimultaneously manage multiple operational streamsExperience RequirementsAt least 24 months of LiDAR labeling experienceProven advanced skills in 2D and 3D LiDAR annotation and segmentationTechnical & Analytical CompetenciesAdvanced LiDAR & Segmentation ExpertiseHigh proficiency in complex 3D point cloud segmentationMulti-class object classification capabilitiesExperience in managing occlusions and edge-case scenariosAccurate cuboid alignment and spatial calibrationTools & Systems ProficiencyFamiliarity with MS Office or Google SuiteExperience with JIRA or similar ticketing systemsAdvanced skills in Excel/Google Sheets, including:Pivot tablesVLOOKUPData extraction and manipulationAnalytical & Root Cause CapabilityProficient in data-driven performance analysisApplication of:Root Cause Analysis (RCA)Understanding of operational metrics such as:ShrinkageUtilizationProductivitySLA adherenceApplication of detailed ontology and taxonomy standardsReview and correction of segmentation inconsistenciesIdentification of systemic annotation error patterns

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Senior Associate in LiDAR Segmentation and Quality Governance

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