Marvine Onyango

Key Skills

Software

Remotasks

Labelbox

CVAT

LabelImg

Top Subject Matter

General AI/ML Data Labeling for Machine Learning

Finance- Risk Analysis & Fraud detection

E-Commerce- product categorization and customer support

Top Data Types

Image

Text

Audio

Video

Top Task Types

Classification

Bounding Box

Segmentation

Freelancer Overview

Freelance Data Labeler / AI Data Annotator. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Labelbox, and CVAT. Education includes Bachelor of Science, University of Embu (2021). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Classification, Bounding Box, and Segmentation.

Labeling Experience

Data Labeler

ImageClassification

In this project, I labeled objects within images using techniques such as bounding boxes and classification tags. The goal was to help train AI models to recognize objects such as vehicles, pedestrians, and everyday items. I ensured high accuracy by carefully following annotation instructions and performing quality checks before submission.

In this project, I labeled objects within images using techniques such as bounding boxes and classification tags. The goal was to help train AI models to recognize objects such as vehicles, pedestrians, and everyday items. I ensured high accuracy by carefully following annotation instructions and performing quality checks before submission.

2024 - 2026

Freelance Data Labeler / AI Data Annotator

RemotasksImageClassificationBounding Box

As a Freelance Data Labeler and AI Data Annotator at Remotask.com, I labeled and annotated diverse datasets including images, text, audio, and video to train machine learning models. My work involved the application of various annotation techniques such as classification, tagging, bounding boxes, and segmentation as per project requirements. I ensured high levels of accuracy, consistency, and data quality throughout the labeling process, collaborating with teams to meet AI training needs. • Performed detailed quality assurance reviews to correct labeling errors. • Followed strict annotation guidelines for data integrity across projects. • Utilized annotation tools for efficient workflow and accurate results. • Managed large volumes of training data to support robust AI model development.

As a Freelance Data Labeler and AI Data Annotator at Remotask.com, I labeled and annotated diverse datasets including images, text, audio, and video to train machine learning models. My work involved the application of various annotation techniques such as classification, tagging, bounding boxes, and segmentation as per project requirements. I ensured high levels of accuracy, consistency, and data quality throughout the labeling process, collaborating with teams to meet AI training needs. • Performed detailed quality assurance reviews to correct labeling errors. • Followed strict annotation guidelines for data integrity across projects. • Utilized annotation tools for efficient workflow and accurate results. • Managed large volumes of training data to support robust AI model development.

2024 - 2026

Data Labeler

DocumentSegmentation

The project involved data categorization and dataset cleaning. I reviewed large datasets to identify inconsistencies, duplicates, and errors, then corrected and organized the data to improve dataset quality for AI training.

The project involved data categorization and dataset cleaning. I reviewed large datasets to identify inconsistencies, duplicates, and errors, then corrected and organized the data to improve dataset quality for AI training.

2025 - 2025

Data Labeler

TextText Generation

I worked on text annotation projects for natural language processing (NLP). These tasks involved labeling text data for sentiment analysis, intent recognition, and content classification. I categorized text based on tone, meaning, and context to help improve the accuracy of language models.

I worked on text annotation projects for natural language processing (NLP). These tasks involved labeling text data for sentiment analysis, intent recognition, and content classification. I categorized text based on tone, meaning, and context to help improve the accuracy of language models.

2025 - 2025

Education

Work History