Technical Operator- II at digital divide data

Nairobi, Nairobi County, Kenya -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LiDAR Annotation, 3D Segmentation, Quality Audits, Program Health, SLA Adherence, Cuboid Alignment, Point Cloud Segmentation, Object Classification, Root Cause Analysis, JIRA, Advanced Excel, Data Extraction, Ontology Standards, Policy Adherence, Stakeholder Interface, Operational Metrics

Industry

Professional Services

Description

Company Description Digital Divide Data (DDD) is a BPO that delivers ML data solutions and content services to Fortune 500 companies and the world’s leading academic institutions. DDD is unique in its ability to deliver end-to-end data creation, curation, labeling, and annotation services, regardless of scale, with a guaranteed level of quality. Job Description 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.

Responsibilities

The Operator Level 2 is responsible for conducting advanced 2D and 3D LiDAR segmentation tasks while also performing structured quality audits to identify and correct systemic annotation errors. This role requires taking end-to-end accountability for program health, effectively allocating work, and ensuring all defined team targets for productivity, quality, and efficiency are achieved.