Bill Onyango

Key Skills

Software

CVAT

Other

AWS SageMaker

Labelbox

Roboflow

SuperAnnotate

Top Subject Matter

General AI model training support

Speech Recognition

Academic AI Model Training

Top Data Types

Image

Audio

Text

Top Task Types

Bounding Box

Transcription

Classification

Freelancer Overview

Detail-oriented Software Engineering graduate with hands-on experience in AI data labeling and training data support since 2022, working with tools such as CVAT, Labelbox, Roboflow, SuperAnnotate, and Amazon SageMaker Ground Truth. I have annotated image, text, and audio datasets, performed data validation and quality checks, and processed structured data in JSON and CSV formats to ensure consistency for model training. My background in Python (Pandas) and data handling supports efficient dataset cleaning and organization, while my experience with transcription and audio review strengthens my ability to contribute to speech-related AI tasks. I am highly reliable, accurate, and comfortable managing high-volume, repetitive labeling work while maintaining strict attention to detail.

Labeling Experience

Freelance AI Data Support

CVATImageBounding Box

As a Freelance AI Data Support specialist, I labeled and annotated image, text, and audio datasets utilizing leading annotation platforms. I processed and validated structured data in various formats in preparation for AI model training. My role required consistent high-quality work and thorough review of AI-generated outputs to ensure accuracy. • Used CVAT, Labelbox, Roboflow, and SuperAnnotate for labeling images. • Performed data validation and quality checks for consistency. • Processed and managed datasets in JSON and CSV formats. • Reviewed and improved AI-generated outputs for training improvement.

As a Freelance AI Data Support specialist, I labeled and annotated image, text, and audio datasets utilizing leading annotation platforms. I processed and validated structured data in various formats in preparation for AI model training. My role required consistent high-quality work and thorough review of AI-generated outputs to ensure accuracy. • Used CVAT, Labelbox, Roboflow, and SuperAnnotate for labeling images. • Performed data validation and quality checks for consistency. • Processed and managed datasets in JSON and CSV formats. • Reviewed and improved AI-generated outputs for training improvement.

2022 - Present

Independent Transcription & Audio Review Work

OtherAudioTranscription

In my Independent Transcription & Audio Review work, I transcribed and labeled short audio clips to support AI speech recognition. I ensured high accuracy and consistency in audio outputs. I contributed to improving AI models through thorough validation and correction. • Used audio tools such as Audacity and transcription platforms. • Validated and checked audio transcriptions for accuracy. • Supported the development of AI speech recognition models. • Managed repetitive high-volume audio review tasks efficiently.

In my Independent Transcription & Audio Review work, I transcribed and labeled short audio clips to support AI speech recognition. I ensured high accuracy and consistency in audio outputs. I contributed to improving AI models through thorough validation and correction. • Used audio tools such as Audacity and transcription platforms. • Validated and checked audio transcriptions for accuracy. • Supported the development of AI speech recognition models. • Managed repetitive high-volume audio review tasks efficiently.

2021 - Present

Academic Data Preparation Projects

OtherTextClassification

During academic projects in Software Engineering, I prepared and structured text datasets for AI model training. I used Python (Pandas) to clean data and ensure quality for analysis. My focus was on creating well-organized, high-quality datasets for model development. • Handled CSV and JSON formats for data preparation. • Applied basic Python for data processing and cleaning. • Ensured structured datasets were ready for analysis. • Supported small-scale model training through text labeling.

During academic projects in Software Engineering, I prepared and structured text datasets for AI model training. I used Python (Pandas) to clean data and ensure quality for analysis. My focus was on creating well-organized, high-quality datasets for model development. • Handled CSV and JSON formats for data preparation. • Applied basic Python for data processing and cleaning. • Ensured structured datasets were ready for analysis. • Supported small-scale model training through text labeling.

2018 - 2020

Education

Work History