Paul Tendwa

Key Skills

Software

CVAT

Top Subject Matter

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Top Data Types

Video

Top Label Types

Bounding Box

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Point Key Point

Freelancer Overview

I am an experienced Data Annotation Team Lead with over four years specializing in delivering high-quality datasets for machine learning and AI applications. My expertise spans 2D and 3D point cloud annotation, LiDAR data labeling, semantic segmentation, and quality assurance, with a proven track record of maintaining data accuracy above 99% for complex projects in autonomous vehicles and computer vision. I have successfully led distributed teams, optimized annotation workflows to boost efficiency by 20%, and developed onboarding and training programs that improved accuracy and reduced rework. Proficient in tools such as Labelbox, Supervisely, GitHub, and Google Workspace, I excel at aligning technical requirements with operational execution to ensure timely, compliant, and consistent project delivery. My experience also includes project coordination, digital content management, and mentoring in technology adoption and AI literacy.

Labeling Experience

AI Agent

CVATVideoBounding BoxPolygon

Served as a core member of a 300-person specialized team at Sama for a high-stakes, three-year Meta initiative focused on Smart Glasses development. Responsible for the end-to-end synchronization of raw real-world video and imagery with complex audio datasets across multiple development phases. Consistently delivered at a 97% accuracy benchmark, ensuring high-fidelity data labeling while maintaining peak operational efficiency and occupancy to meet Meta’s rigorous scaling requirements

Served as a core member of a 300-person specialized team at Sama for a high-stakes, three-year Meta initiative focused on Smart Glasses development. Responsible for the end-to-end synchronization of raw real-world video and imagery with complex audio datasets across multiple development phases. Consistently delivered at a 97% accuracy benchmark, ensuring high-fidelity data labeling while maintaining peak operational efficiency and occupancy to meet Meta’s rigorous scaling requirements

2020 - 2025

Education

Work History