Samuel Mumbi

Key Skills

Software

CloudFactory

Hasty

Sama

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Task Types

Bounding Box

Object Detection

Segmentation

Freelancer Overview

I have hands-on experience in data labeling and AI training data, having worked on various annotation platforms including CloudFactory and Remotasks. My responsibilities included image and video annotation, text classification, sentiment analysis, and bounding box labeling—ensuring data was clean, structured, and accurately tagged to meet client guidelines. I consistently maintained high quality and throughput, meeting tight deadlines without compromising on accuracy. My keen eye for detail and ability to follow complex instructions set me apart in quality-focused projects. What distinguishes me further is my adaptability and strong grasp of AI model training requirements. I am skilled in using labeling tools like CVAT, Labelbox, and Scale AI, and I understand the importance of consistency and context in supervised learning tasks. Whether working independently or as part of a team, I’ve contributed to projects that powered applications in autonomous driving, e-commerce, and natural language processing. My experience has taught me to think critically, verify outputs, and always prioritize data integrity.

Labeling Experience

Autonomous Vehicle Data Annotation

CloudfactoryVideoBounding Box

As part of a team supporting a self-driving car initiative, I labeled objects in images and videos using bounding boxes, polygons, and segmentation masks. This involved identifying road signs, pedestrians, vehicles, and lane markings with precise accuracy to support computer vision models. I followed detailed guidelines to ensure consistency and contributed to QA reviews to maintain high annotation standards. My ability to adapt quickly to updated labeling protocols helped the team meet performance benchmarks and deadlines.

As part of a team supporting a self-driving car initiative, I labeled objects in images and videos using bounding boxes, polygons, and segmentation masks. This involved identifying road signs, pedestrians, vehicles, and lane markings with precise accuracy to support computer vision models. I followed detailed guidelines to ensure consistency and contributed to QA reviews to maintain high annotation standards. My ability to adapt quickly to updated labeling protocols helped the team meet performance benchmarks and deadlines.

2023 - 2023

Education

Work History