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James Mwangi

James Mwangi

AI Data Annotation Specialist - Machine Learning

KENYA flag
Nairobi, Kenya
$11.00/hrExpertTolokaCVATLabelbox

Key Skills

Software

TolokaToloka
CVATCVAT
LabelboxLabelbox

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
Computer Code ProgrammingComputer Code Programming

Top Label Types

Bounding Box
Segmentation
Data Collection
Classification
Question Answering
Computer Programming Coding

Freelancer Overview

I am a detail-oriented AI Data Annotation Specialist with hands-on experience managing and executing high-precision data labeling projects for machine learning models. My expertise includes annotating image, text, and audio datasets using advanced tools such as Labelbox, Prodigy, and CVAT, as well as automating repetitive tasks with Python scripting to enhance workflow efficiency. I have collaborated closely with data scientists to refine annotation guidelines and improve dataset accuracy, notably increasing data quality by 20% in past projects. My background in project planning and management, combined with strong skills in data cleaning, quality assurance, and the use of project management tools like Trello and Asana, allows me to consistently deliver high-quality, reliable training data for AI applications in areas such as sentiment analysis and business process optimization.

ExpertEnglishSwahili

Labeling Experience

Labelbox

Annotated Dataset for Sentiment Analysis Project

LabelboxComputer Code ProgrammingClassificationQuestion Answering
For the Sentiment Analysis dataset annotation project, I created and refined a labeled dataset of 10,000 text entries to train machine learning models. I improved annotation accuracy through iterative feedback and collaboration with the development team. Automation techniques were employed to reduce manual review time and enhance consistency. • Labeled large volumes of data entries for sentiment classification tasks. • Developed Python scripts for automated quality checks and data cleaning. • Participated in annotation accuracy reviews and updates. • Ensured deliverables met project and data quality standards.

For the Sentiment Analysis dataset annotation project, I created and refined a labeled dataset of 10,000 text entries to train machine learning models. I improved annotation accuracy through iterative feedback and collaboration with the development team. Automation techniques were employed to reduce manual review time and enhance consistency. • Labeled large volumes of data entries for sentiment classification tasks. • Developed Python scripts for automated quality checks and data cleaning. • Participated in annotation accuracy reviews and updates. • Ensured deliverables met project and data quality standards.

2023 - 2023
CVAT

AI Data Annotation Specialist

CVATImageClassification
As an AI Data Annotation Specialist at CVAT, I managed end-to-end annotation tasks for training and testing datasets in machine learning projects. I applied accurate labeling techniques for image, text, and audio datasets using advanced tools such as Labelbox and Prodigy. I conducted quality assurance processes to enhance data integrity and collaborated closely with data scientists to improve dataset accuracy. • Led dataset annotation and ensured labels met project specifications. • Utilized Python scripting to automate parts of the annotation workflow. • Implemented quality checks and feedback loops for data validation. • Contributed to improving annotation guidelines, boosting accuracy by 20%.

As an AI Data Annotation Specialist at CVAT, I managed end-to-end annotation tasks for training and testing datasets in machine learning projects. I applied accurate labeling techniques for image, text, and audio datasets using advanced tools such as Labelbox and Prodigy. I conducted quality assurance processes to enhance data integrity and collaborated closely with data scientists to improve dataset accuracy. • Led dataset annotation and ensured labels met project specifications. • Utilized Python scripting to automate parts of the annotation workflow. • Implemented quality checks and feedback loops for data validation. • Contributed to improving annotation guidelines, boosting accuracy by 20%.

2022 - 2023
Toloka

Data Annotation

TolokaImageBounding BoxSegmentation
I gave images different labels and chose which is better quality, accurate and relevant to the prompt. I also drew bounding boxes on images.

I gave images different labels and chose which is better quality, accurate and relevant to the prompt. I also drew bounding boxes on images.

2021 - 2023

Education

D

Data Analytics

Certificate, Introduction to machine learning

Certificate
2023 - 2023
A

ALX

Certificate, Python for Beginners

Certificate
2023 - 2023

Work History

C

CVAT

AI Data Annotation Specialist

Nairobi
2022 - 2023
N

Nyeri Water and Sanitation Company

Intern Project Coordinator

Nyeri
2022 - 2022