Senior Associate

Nairobi - Kenya

Monthly Salary: Not Disclosed

Posted on: 15 hours ago

Vacancies: 1 Vacancy

Job Summary

Role Overview

The Senior Associate is 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 :

Employment Type :

Contract

Role OverviewThe Senior Associate is 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. ResponsibilitiesTechnical & Quality OversightConduct adva...

Role Overview

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 :

Employment Type :

Contract

Key Skills

Business Development
Organizational Management
GAAP
Accounting
Analysis Skills
Meeting Facilitation
Microsoft Powerpoint
Investment Banking
Microsoft Excel
Private equity
Financial Modeling
Writing Skills

Apply Now

About Company

Digital Divide Data

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

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