Enock Kagunda

Key Skills

Software

CVAT

Remotasks

Top Subject Matter

Sports analytics (volleyball, soccer, tennis)

Autonomous driving datasets

Top Data Types

Video

Image

Top Task Types

Object Detection

Bounding Box

Freelancer Overview

Freelance Data Annotation Specialist. Core strengths include CVAT and Remotasks. AI-training focus includes data types such as Video and Image and labeling workflows including Object Detection and Bounding Box.

Labeling Experience

Freelance Data Annotation Specialist

CVATVideoObject Detection

As a Freelance Data Annotation Specialist at CVAT and OpenTrain AI, I annotated over 5,000 video frames for sports analytics projects in volleyball, soccer, and tennis. I specialized in labeling only active objects, such as the ball during play, while maintaining over 90% accuracy, especially on blurry and fast-moving objects. My workflow included self-auditing with platform QA metrics and successfully completing multiple one-time projects with zero rework requests. • Annotated active objects for real game scenarios and ignored non-relevant objects. • Consistently delivered projects with a high accuracy rate above 90%. • Completed more than 10 one-time projects with no rework required. • Used advanced video annotation tools and conducted quality control before submission.

As a Freelance Data Annotation Specialist at CVAT and OpenTrain AI, I annotated over 5,000 video frames for sports analytics projects in volleyball, soccer, and tennis. I specialized in labeling only active objects, such as the ball during play, while maintaining over 90% accuracy, especially on blurry and fast-moving objects. My workflow included self-auditing with platform QA metrics and successfully completing multiple one-time projects with zero rework requests. • Annotated active objects for real game scenarios and ignored non-relevant objects. • Consistently delivered projects with a high accuracy rate above 90%. • Completed more than 10 one-time projects with no rework required. • Used advanced video annotation tools and conducted quality control before submission.

2023 - Present

Image & Video Labeler

RemotasksImageBounding Box

As an Image & Video Labeler for Remotasks and Scale AI, I labeled pedestrians and vehicles in images for autonomous driving datasets. I maintained a 98% quality standard while achieving a top 15% speed rating among annotators. My responsibilities included flagging ambiguous edge cases with clear justifications to improve dataset quality. • Provided detailed bounding box labels for vehicle and pedestrian detection. • Consistently met and exceeded quality benchmarks set by the platform. • Handled edge cases and participated in quality assurance activities. • Used Remotasks and Scale AI tools for efficient and accurate image annotation.

As an Image & Video Labeler for Remotasks and Scale AI, I labeled pedestrians and vehicles in images for autonomous driving datasets. I maintained a 98% quality standard while achieving a top 15% speed rating among annotators. My responsibilities included flagging ambiguous edge cases with clear justifications to improve dataset quality. • Provided detailed bounding box labels for vehicle and pedestrian detection. • Consistently met and exceeded quality benchmarks set by the platform. • Handled edge cases and participated in quality assurance activities. • Used Remotasks and Scale AI tools for efficient and accurate image annotation.

2022 - 2023

Education

Work History