Vacancies at Digital Divide Data (DDD Kenya)

• The Operator Level 1 is responsible for executing 2D and 3D LiDAR annotation and segmentation tasks in accordance with defined SOPs, quality benchmarks, and productivity targets. This role requires technical precision, spatial awareness, and disciplined execution in high-volume production environments.

 Responsibilities

• Production & Quality Execution
• Execute repetitive 2D/3D LiDAR annotation and segmentation tasks in strict adherence to SOPs
• Maintain classification accuracy across object types and categories
• Meet or exceed defined benchmarks for:
• Productivity
• Quality
• Accuracy
• Sustain consistency in output with minimal supervision
• Issue Identification & Continuous Improvement
• Identify recurring annotation errors or tool-related issues
• Escalate quality risks or inconsistencies in labeling standards
• Suggest improvements to tools, taxonomy, or workflow
• Communication & Collaboration
• Communicate effectively with peers, QA teams, and stakeholders in English
• Document issues clearly and accurately

Success Profile

• High attention to detail
• Strong spatial and logical reasoning ability
• Ability to sustain accuracy in repetitive workflows
• Foundational understanding of quality control
• Ability to identify misclassification and segmentation inconsistencies

Qualifications

Education Requirements

• Diploma or higher qualification in a relevant field such as:
• Computer Science
• Information Technology
• Engineering (Electrical, Computer, Geospatial, or related)
• Data Science
• Geospatial Studies
• Or equivalent technical discipline

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• 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