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Davies Kiyaka

Davies Kiyaka

image and video annotator with 5+ years of experience

KENYA flag
Nairobi, Kenya
$5.00/hrIntermediateAppenClickworkerCloudfactory

Key Skills

Software

AppenAppen
ClickworkerClickworker
CloudFactoryCloudFactory
RemotasksRemotasks
Scale AIScale AI

Top Subject Matter

Healthcare – Medical Records & Patient Data
Finance – Risk Analysis & Fraud Detection
E-commerce – Product Categorization & Customer Support

Top Data Types

ImageImage
TextText
VideoVideo

Top Label Types

Bounding Box
Classification
Computer Programming Coding
Cuboid
Mapping

Freelancer Overview

I have extensive experience as an AI Training Data specialist, having contributed to a wide range of data labeling projects across Computer Vision and Natural Language Processing. My core strength lies in my adaptability and strict adherence to complex guidelines. I have worked on projects ranging from bounding box annotation for autonomous vehicle datasets to sentiment analysis and semantic segmentation for e-commerce platforms. I pride myself on my high throughput and accuracy, consistently meeting or exceeding the project-specific quality benchmarks (such as precision and recall scores) set by clients. I am also highly proficient in using major annotation tools like Labelbox, Supervisely, and in-house platforms, allowing me to integrate into new workflows with zero ramp-up time.

IntermediateEnglish

Labeling Experience

Image Annotation Specialist - Bounding Box Labeling (Remotasks)

ImageBounding Box
I gained valuable experience as an image annotator on Remotasks, where I contributed to diverse computer vision projects by creating precise bounding box annotations. My role involved identifying and outlining specific objects within images to build robust training datasets for machine learning models. I worked on a variety of projects with different object classes and guidelines, requiring me to quickly adapt to new instructions and maintain consistent quality. Whether labeling products for e-commerce, identifying animals in wildlife imagery, or annotating household items for robotics applications, I focused on accuracy and efficiency. I learned to navigate complex annotation interfaces and developed a keen eye for detail, ensuring every bounding box was correctly placed and classified. This work strengthened my ability to follow detailed specifications and deliver reliable results in a fast-paced, project-based environment.

I gained valuable experience as an image annotator on Remotasks, where I contributed to diverse computer vision projects by creating precise bounding box annotations. My role involved identifying and outlining specific objects within images to build robust training datasets for machine learning models. I worked on a variety of projects with different object classes and guidelines, requiring me to quickly adapt to new instructions and maintain consistent quality. Whether labeling products for e-commerce, identifying animals in wildlife imagery, or annotating household items for robotics applications, I focused on accuracy and efficiency. I learned to navigate complex annotation interfaces and developed a keen eye for detail, ensuring every bounding box was correctly placed and classified. This work strengthened my ability to follow detailed specifications and deliver reliable results in a fast-paced, project-based environment.

2021 - 2023

Education

M

Moringa School

Data Science Professional Program, Data Science

Data Science Professional Program
2025 - 2025
P

Pwani University

Bachelor of Science, Mathematics (Statistics)

Bachelor of Science
2018 - 2023

Work History

L

Lee Hardware & Timberyard

Cashier & Data Entry Specialist

Nairobi
2025 - Present
U

Upwork & Independent Gigs

Freelance Data Analyst

Global - Any Location
2022 - Present