Johnson B.

Key Skills

Software

CVAT

Other

Top Subject Matter

Smart city and urban infrastructure (waste management, urban vegetation, road defect detection)

Urban infrastructure video annotation (waste management and vegetation)

Speech and voice annotation for smart city/urban infrastructure use cases

Top Data Types

Image

Video

Audio

Text

Document

Top Task Types

Polygon

Segmentation

Transcription

Freelancer Overview

Professional data annotator / AI training data annotation (smart city datasets). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Other. Education includes Bachelor of Science, Emory University (2018). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Polygon, Segmentation, and Transcription.

Labeling Experience

Audio transcription and voice annotation for AI training

OtherAudioTranscription

Annotated audio and voice recordings to support speech-oriented computer vision and speech tasks. Completed transcription and voice annotation with attention to multilingual accuracy using native English and Swahili skills. Maintained verified annotation quality while meeting contract throughput targets. • Transcribed audio and annotated voice recordings • Applied native English and Swahili language skills • Delivered 50 audio files per day during contracts • Maintained 82.2/100 verified annotation quality score

2022 - Present

Computer vision video annotation for AI training data

CVATVideoSegmentation

Annotated video data for computer vision training covering urban infrastructure and waste management scenarios. Segmentation work was performed with CVAT using polygon-style labels appropriate to the target objects and regions. Delivered consistent daily annotation volumes over multi-month contracts. • Segmented relevant regions in smart city and urban infrastructure videos • Labeled using CVAT polygon segmentation workflows • Produced 50 videos per day across multi-month contracts • Ensured quality via a verified platform score (82.2/100)

2022 - Present

Professional data annotator / AI training data annotation (smart city datasets)

CVATImagePolygon

Annotated images, videos, and audio files for computer vision and speech projects focused on smart city and urban infrastructure datasets. Performed polygon segmentation for waste containers, urban vegetation, road curbs, and bin interiors using CVAT. Produced high throughput output while maintaining label reliability and language-aware transcription quality. • Segmented waste containers, vegetation, road curbs, and bin interiors • Used CVAT for polygon segmentation annotations • Transcribed and annotated voice recordings in English and Swahili • Maintained an 82.2/100 verified annotation quality score on Drafted Labs

2022 - Present

Education

Work History