Kipande Rd, Nairobi, Kenya On-site Contract

Digital Divide Data is hiring a Senior Associate

About the Role

As a Senior Associate, you will lead advanced 2D and 3D LiDAR segmentation initiatives, ensuring accurate and consistent annotation across complex datasets. Your responsibilities span technical execution, quality assurance, and operational oversight, with a focus on maintaining program integrity and team performance.

Key Responsibilities

  • Execute high-precision 2D and 3D LiDAR annotation and segmentation, including handling edge cases and occlusions
  • Conduct systematic quality audits to detect and resolve annotation inconsistencies
  • Identify recurring error patterns and implement corrective measures to improve data accuracy
  • Oversee program health by monitoring productivity, quality, SLA compliance, efficiency, and resource utilization
  • Distribute workloads strategically among team members to meet performance targets
  • Ensure strict compliance with established data ontologies, taxonomies, and segmentation standards
  • Manage reporting, training, and policy enforcement in the absence of dedicated leads
  • Coordinate professionally with international stakeholders across time zones
  • Balance multiple concurrent operational workflows with minimal supervision

Required Qualifications

  • At least two years of hands-on experience in LiDAR data labeling
  • Proven skill in 2D and 3D annotation, including multi-class object classification and 3D point cloud segmentation
  • Expertise in precise cuboid placement, spatial calibration, and handling partial or obscured objects
  • Strong proficiency in MS Office or Google Suite, with advanced capabilities in Excel or Google Sheets—including pivot tables, VLOOKUP, and data manipulation
  • Experience using JIRA or similar ticketing systems for task tracking
  • Familiarity with operational KPIs such as shrinkage, utilization, productivity, and SLA adherence
  • Ability to perform root cause analysis and data-driven performance evaluation
  • Experience applying structured annotation guidelines and correcting segmentation discrepancies
Required Skills
LiDAR labeling2D annotation3D annotationpoint cloud segmentationmulti-class classificationocclusion handlingquality auditingMS OfficeGoogle SuiteJIRAExcelGoogle SheetsPivot tablesVLOOKUPdata extraction LiDAR labeling2D annotation3D annotationpoint cloud segmentationmulti-class classificationocclusion handlingquality auditingMS OfficeGoogle SuiteJIRAExcelGoogle SheetsPivot tablesVLOOKUPdata extraction
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About company
Digital Divide Data

Digital Divide Data (DDD) delivers end-to-end ML Data Operations and Training Data Solutions for Large Language Models (LLMs) and Computer Vision systems. Trusted by Fortune 500 enterprises and global innovators in Physical AI, Gen AI, and Data Services, we combine human expertise with advanced workflows to ensure model safety, precision, and performance.

We transform complex, real-world data into production-ready training and validation assets that accelerate AI model performance, deployment, and long-term ROI. With a focus on quality-driven human-in-the-loop processes, DDD supports scalable, high-performance AI and LLM development.

The company celebrates 25 years of excellence and social impact, delivering services across industries including autonomous driving, robotics, healthcare, finance, and cultural heritage.

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Job Details
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Posted 2 months ago