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Joseph Mwanzia

Joseph Mwanzia

Expert in AI computer vision data labeling for self-driving cars

Kenya flagNairobi, Kenya
$5.00/hrExpertAppenClickworkerCVAT

Key Skills

Software

AppenAppen
ClickworkerClickworker
CVATCVAT
HastyHasty
HiveMindHiveMind
LabelboxLabelbox
V7 LabsV7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Geospatial Tiled ImageryGeospatial Tiled Imagery
ImageImage
VideoVideo

Top Task Types

ClassificationClassification
CuboidCuboid
Object DetectionObject Detection
SegmentationSegmentation

Freelancer Overview

With over 5 years of experience in data labeling and AI training data development, I specialize in creating high-quality, annotated datasets that serve as the foundation for robust machine learning models. My expertise spans the end-to-end data pipeline—from data collection and preprocessing to implementing precise annotation guidelines across various data types, including text, image, and video. I am proficient in using industry tools such as [mention specific tools, e.g., Labelbox, Supervisely, or in-house platforms] and have a strong understanding of labeler management, quality assurance frameworks, and inter-annotator agreement metrics to ensure consistency and accuracy in large-scale data operations. I have contributed to multiple high-impact projects, including fine-tuning computer vision models for object detection and developing nuanced text classification systems for intent recognition. My ability to bridge the gap between model requirements and practical data annotation has been key to improving model performance in real-world applications. By combining a meticulous approach to data integrity with a deep appreciation for how labeled data influences model behavior, I help teams build more reliable, efficient, and fair AI systems.

ExpertEnglish

Labeling Experience

V7 Labs

Alfred Eyes

V7 LabsVideoAction Recognition
Our mission was to enhance the Alfred Eyes system by training its models to recognize patterns of suspicious activity, thereby enabling it to detect potential theft incidents in real time

Our mission was to enhance the Alfred Eyes system by training its models to recognize patterns of suspicious activity, thereby enabling it to detect potential theft incidents in real time

2024
CVAT

Berlin Golf

CVATVideoPoint Key Point
The goal of the Berlin Golf project is to leverage AI-driven keypoint detection to revolutionize golf training. By automatically mapping a player's swing kinematics, the system will generate quantitative insights to help athletes and coaches optimize performance and prevent injury

The goal of the Berlin Golf project is to leverage AI-driven keypoint detection to revolutionize golf training. By automatically mapping a player's swing kinematics, the system will generate quantitative insights to help athletes and coaches optimize performance and prevent injury

2025 - 2025
Labelbox

NearMap

LabelboxImageBounding BoxPolygon
This project leverages Nearmap's high-resolution aerial imagery to conduct detailed roof analysis, enabling precise measurements and condition assessments for accurate quoting and planning.

This project leverages Nearmap's high-resolution aerial imagery to conduct detailed roof analysis, enabling precise measurements and condition assessments for accurate quoting and planning.

2023 - 2025
CVAT

Sentinel project

CVATImageBounding BoxPolygon
we were annotating construction site images that would boost the overall safety of the construction site

we were annotating construction site images that would boost the overall safety of the construction site

2024 - 2024

Education

K

Kiambu Institute of Science and Technology

Diploma, Architecture

Diploma
2019 - 2022
M

MUYOG Vocational Institute, Marurui

Certificate, Computer Packages and Computer Literacy

Certificate
2019 - 2019

Work History

C

Cloudfactory Kenya

Data annotation expert

Nairobi
2023 - 2023
A

Africa AI

Data validator

Nairobi
2022 - 2023