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Joseph Kahara

Joseph Kahara

Operations Consultant– Digital Divide Data

Kenya flagNairobi, Kenya
$5.00/hrExpertCloudfactoryCVATDataloop

Key Skills

Software

CloudFactoryCloudFactory
CVATCVAT
DataloopDataloop
DoccanoDoccano
HastyHasty
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
ProdigyProdigy
SuperAnnotateSuperAnnotate
VoTT
Internal/Proprietary Tooling
Other
V7 LabsV7 Labs

Top Subject Matter

Autonomous Systems
Machine Learning Model Training
Video Annotation for Machine Learning

Top Data Types

AudioAudio
ImageImage
VideoVideo
3D Sensor
TextText
DocumentDocument

Top Task Types

Bounding BoxBounding Box
ClassificationClassification
Point/Key PointPoint/Key Point
PolygonPolygon
SegmentationSegmentation
Object DetectionObject Detection
TranscriptionTranscription

Freelancer Overview

Operations Consultant– Digital Divide Data. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, V7 Labs, and CloudFactory. Education includes Bachelor of Science, Taita Taveta University (2019) and Kenya Certificate of Secondary Education, Nyeri High School (2014). AI-training focus includes data types such as 3D Sensor, Image, and Video and labeling workflows including Object Detection, Classification, and Point.

ExpertEnglish

Labeling Experience

CVAT

Cyvl

CVATImageBounding BoxPolygon
The CYVL project involved the annotation of up to 50,000 images aimed at identifying both the materials used in road construction (e.g., asphalt, concrete, gravel) and various road surface defects such as potholes, cracks, repairs, and worn-out road markings. The scope required detailed classification and segmentation to support AI models used in automated road condition assessments and maintenance planning. Accuracy and consistency were critical, as the data contributed to infrastructure monitoring systems and smart city applications.

The CYVL project involved the annotation of up to 50,000 images aimed at identifying both the materials used in road construction (e.g., asphalt, concrete, gravel) and various road surface defects such as potholes, cracks, repairs, and worn-out road markings. The scope required detailed classification and segmentation to support AI models used in automated road condition assessments and maintenance planning. Accuracy and consistency were critical, as the data contributed to infrastructure monitoring systems and smart city applications.

2024 - 2026

Operations Consultant– Digital Divide Data

Other3D SensorObject Detection
I worked as a data annotator specializing in 2D and 3D LiDAR annotation for autonomous systems. My responsibilities included labeling point cloud data and images to identify vehicles, pedestrians, and road features. I ensured that annotations were precise and consistent to support the training of machine learning models for the autonomous industry. • Labeled both image and point cloud data for use in autonomous technologies. • Focused on object detection tasks including vehicles and pedestrian identification. • Ensured high-quality annotations that met project guidelines. • Contributed to consistent datasets for machine learning model improvement.

I worked as a data annotator specializing in 2D and 3D LiDAR annotation for autonomous systems. My responsibilities included labeling point cloud data and images to identify vehicles, pedestrians, and road features. I ensured that annotations were precise and consistent to support the training of machine learning models for the autonomous industry. • Labeled both image and point cloud data for use in autonomous technologies. • Focused on object detection tasks including vehicles and pedestrian identification. • Ensured high-quality annotations that met project guidelines. • Contributed to consistent datasets for machine learning model improvement.

2025 - Present
CloudFactory

Avid Exchange

CloudfactoryVideoData Collection
The AvidXchange project focused on extracting structured data from scanned invoices, including key fields such as "Ship To," "Bill To," Invoice Number, PO Number, Work Order, Date, Account Number, and other relevant billing details. The scope involved reviewing a high volume of diverse invoice formats and accurately capturing text using OCR and manual validation. This ensured clean, reliable data for accounts payable automation and financial processing, with a strong emphasis on data accuracy, consistency, and meeting turnaround time requirements.

The AvidXchange project focused on extracting structured data from scanned invoices, including key fields such as "Ship To," "Bill To," Invoice Number, PO Number, Work Order, Date, Account Number, and other relevant billing details. The scope involved reviewing a high volume of diverse invoice formats and accurately capturing text using OCR and manual validation. This ensured clean, reliable data for accounts payable automation and financial processing, with a strong emphasis on data accuracy, consistency, and meeting turnaround time requirements.

2023
V7 Labs

Data Annotation Specialist– Innodata

V7 LabsVideoPoint Key Point
As a data annotation specialist, I performed keypoint annotation and bounding box labeling on video frames using V7 Darwin. My responsibility was to track and label objects and keypoints across video sequences for machine learning training. I ensured high-quality, accurate annotations that followed specific project guidelines. • Used V7 Darwin for annotation of video datasets. • Created bounding boxes and tracked keypoints across frames. • Supported projects for machine learning based on video input. • Maintained annotation consistency and quality control.

As a data annotation specialist, I performed keypoint annotation and bounding box labeling on video frames using V7 Darwin. My responsibility was to track and label objects and keypoints across video sequences for machine learning training. I ensured high-quality, accurate annotations that followed specific project guidelines. • Used V7 Darwin for annotation of video datasets. • Created bounding boxes and tracked keypoints across frames. • Supported projects for machine learning based on video input. • Maintained annotation consistency and quality control.

2025 - 2026

Freelance Transcriptionist

OtherTextTranscription
As a freelance transcriptionist, I provided high-accuracy transcription services for diverse audio content. I specialized in transcribing legal, medical, and general interviews, ensuring confidentiality and adherence to style requirements. I completed over 1,200 hours of content with a focus on quality and accuracy. • Worked across leading transcription platforms. • Maintained strong client ratings and confidentiality standards. • Delivered transcriptions for various domains including legal and medical. • Adapted styles to client specifications and content needs.

As a freelance transcriptionist, I provided high-accuracy transcription services for diverse audio content. I specialized in transcribing legal, medical, and general interviews, ensuring confidentiality and adherence to style requirements. I completed over 1,200 hours of content with a focus on quality and accuracy. • Worked across leading transcription platforms. • Maintained strong client ratings and confidentiality standards. • Delivered transcriptions for various domains including legal and medical. • Adapted styles to client specifications and content needs.

2020 - 2025

Education

T

Taita Taveta University

Bachelor of Science, Purchasing and Supplies Management

Bachelor of Science
2015 - 2019
T

Taita Taveta University

Bachelor's Degree, Purchasing And Supplies Management

Bachelor's Degree
2015 - 2019

Work History

S

Self-Employed

Freelance Transcriptionist

Remote
2020 - Present
K

Kenya Veterinary and Vaccines Production Institute

Procurement Intern

Nairobi
2022 - 2023