Ruth Nweke

Key Skills

Software

CVAT

Labelbox

Other

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Audio

Top Label Types

Bounding Box

Classification

Freelancer Overview

I am a detail-oriented data annotation specialist with over 6 years of experience in data management and hands-on expertise in AI training data projects. My background includes extensive work annotating images, videos, and audio for machine learning applications, using tools such as CVAT, Labelbox, and Audacity. I have supported computer vision and speech recognition projects by accurately labeling objects, scenes, and audio segments, always adhering to strict guidelines and quality assurance standards. My strong attention to detail, commitment to data integrity, and ability to meet tight deadlines make me well-suited for remote and fast-paced environments. I am passionate about supporting the development of reliable AI systems through high-quality, consistent data labeling and annotation.

Labeling Experience

AI Data Annotation & Training – Audio Annotation

OtherAudioClassification

I executed voice annotation and audio labeling tasks such as transcribing and tagging speech data for speech recognition system improvement. Focused on data accuracy, consistency, and compliance with project requirements. Followed annotation protocols and used Audacity to process audio data efficiently. • Labeled and categorized audio files for supervised learning • Transcribed and tagged spoken content • Ensured precise class assignment and tagging • Maintained quality assurance standards

I executed voice annotation and audio labeling tasks such as transcribing and tagging speech data for speech recognition system improvement. Focused on data accuracy, consistency, and compliance with project requirements. Followed annotation protocols and used Audacity to process audio data efficiently. • Labeled and categorized audio files for supervised learning • Transcribed and tagged spoken content • Ensured precise class assignment and tagging • Maintained quality assurance standards

2024 - 2025

AI Data Annotation & Training – Video Annotation

LabelboxVideoClassification

I completed video annotation and captioning to tag scenes, objects, and actions in video data for computer vision and AI model training. Adhered strictly to established guidelines to maintain high data quality and consistency. Ensured timely submission of labeled video datasets to support ongoing AI projects. • Utilized CVAT and Labelbox for video annotation • Tagged and classified scenes and actions • Followed detailed instructions for each use case • Supported model accuracy with precise labeling

I completed video annotation and captioning to tag scenes, objects, and actions in video data for computer vision and AI model training. Adhered strictly to established guidelines to maintain high data quality and consistency. Ensured timely submission of labeled video datasets to support ongoing AI projects. • Utilized CVAT and Labelbox for video annotation • Tagged and classified scenes and actions • Followed detailed instructions for each use case • Supported model accuracy with precise labeling

2024 - 2025

AI Data Annotation & Training – Image Annotation

CVATImageBounding Box

I performed image annotation by identifying and categorizing objects in images for machine learning model training. I ensured high accuracy and consistency while following structured annotation guidelines and quality assurance standards. I participated in organizing and classifying image datasets for supervised learning tasks. • Used CVAT and Labelbox for bounding box annotations • Maintained data integrity and quality control across projects • Delivered labeled datasets to support model development • Collaborated with project teams to meet deadlines

I performed image annotation by identifying and categorizing objects in images for machine learning model training. I ensured high accuracy and consistency while following structured annotation guidelines and quality assurance standards. I participated in organizing and classifying image datasets for supervised learning tasks. • Used CVAT and Labelbox for bounding box annotations • Maintained data integrity and quality control across projects • Delivered labeled datasets to support model development • Collaborated with project teams to meet deadlines

2024 - 2025

Education

Work History