Kelvin Munene

Experienced data annotator and quality reviewer with 3+ years supporting AI training pipelines across image, video, LiDAR point cloud, and text modalities. Consistent 95%+ accuracy rate across contracts with Scale AI, iMerit, micro1, and Surge AI. Strong understanding of annotation workflows, QA processes, and labelling best practices across 2D, 3D, and multimodal datasets.

Quick to learn new tools, task types, and project guidelines. Reliable independent contributor with a track record of meeting tight deadlines across concurrent remote assignments.

Image Annotation Specialist - iMerit Technology - Remote

(2026-03 - 2026-04)

• Annotated image datasets for computer vision AI training, applying precise labelling standards across object detection, classification, and segmentation tasks.
• Worked on 2D and point cloud annotation tasks, labelling objects across varied scene types including urban environments consistent with autonomous driving datasets.
• Conducted self-QA before submission to catch errors proactively, maintaining consistency with project rubrics across all batches.

Senior Team Lead - Ministry of ICT & Digital Economy, Kenya - Nairobi, Hybrid

(2025-06 - 2026-02)

• Led data operations for government digital projects, setting quality standards and reviewing team outputs for accuracy, compliance, and consistency.
• Defined data quality criteria and collaborated with cross-functional teams to scope requirements and maintain benchmarks across concurrent initiatives.
• Managed reporting workflows and ensured all datasets met completeness and accuracy standards before release.

Associate Team Lead - Ministry of ICT & Digital Economy, Kenya - Nairobi, Hybrid

(2024-10 - 2025-06)

• Reviewed data deliverables against quality guidelines and escalated systematic issues, contributing to continuous process improvement.
• Supported onboarding of new team members to annotation tools, task guidelines, and quality standards.

Data Analyst - Ministry of ICT & Digital Economy, Kenya - Nairobi, Hybrid

(2024-01 - 2024-10)

• Prepared and validated large datasets for reporting, applying consistent quality checks at every stage of the pipeline.
• Flagged data quality issues with clear written documentation, supporting cross-functional project milestones.

Data Support Specialist · Internship - Ministry of ICT & Digital Economy, Kenya - Nairobi, Hybrid

(2023-04 - 2023-09)

• Performed data entry and records management, building core discipline in accuracy, consistency, and structured workflows.

Data Annotator - micro1 - Remote

(2025-05 - 2025-11)

• Labelled video data for AI model training including objects, actions, and events across 2D and LiDAR-informed multimodal datasets, maintaining 95%+ precision.
• Applied LiDAR and video annotation techniques to multi-sensor datasets, drawing 3D cuboids and tracking objects across sequential frames.
• Ran self-QA checks before submission and independently managed workload across overlapping assignments without supervision.

Project Manager - Mercor - Remote

(2024-10 - 2025-01)

• Managed AI data annotation projects end-to-end, coordinating teams across image, video, and LiDAR annotation tasks.
• Reviewed team outputs for quality, updated labelling guidelines based on error patterns, and kept deliverables on track to deadlines.
• Maintained structured project documentation and communicated progress clearly to stakeholders.

Team Lead - Scale AI - Kenya · Remote

(2024-06 - 2024-09)

• Led annotation teams producing training data for AI models across image, video, and 3D point cloud task types.
• Reviewed outputs for quality, provided written feedback on labelling errors, and helped refine annotation instructions and golden samples.
• Monitored accuracy metrics and flagged systematic failures to operations teams with clear documentation.

Quality Assurance Specialist - Scale AI - Kenya · Remote

(2024-05 - 2024-07)

• Conducted QA audits on annotation batches including LiDAR point cloud datasets, identifying labelling errors and patterns of inconsistency.
• Produced structured QA reports with actionable findings, supporting annotation team corrections and guideline updates.
• Maintained consistent accuracy standards across parallel projects under tight turnaround requirements.

QA Reviewer - Surge AI - Kenya · Remote

(2023-12 - 2024-04)

• Maintained project standards and ensured data consistency across AI training dataset submissions.
• Identified and documented labelling inconsistencies with clear written findings, contributing to improved project-wide quality standards.

Data Annotator - Surge AI - Remote

(2023-09 - 2023-12)

• Reviewed and annotated AI training datasets applying evaluation rubrics objectively to maintain data consistency across submissions.
• Worked across text and structured data annotation tasks, consistently meeting accuracy and throughput targets.

BSc - Computer Science - Chuka University, Kenya (2020-09 - 2023-01)