God'Swill Gabriel

Key Skills

Software

CVAT

Labelbox

Scale AI

Top Subject Matter

Social Media

E-commerce Product Data & Taxonomy

User-generated Content

Top Data Types

Image

Text

Top Task Types

Classification

Freelancer Overview

Data Annotator (Freelance / Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Scale AI. Education includes Bachelor of Science, N/A. AI-training focus includes data types such as Image and Text and labeling workflows including Classification, Translation, and Localization.

Labeling Experience

Data Annotator (Freelance / Remote)

CVATImageClassification

As a freelance Data Annotator, I annotated thousands of images, videos, and text datasets for AI training purposes. I created detailed, context-aware descriptions of images to improve machine understanding and identified tone, emotion, and cultural references. I performed quality checks to ensure annotation accuracy and consistency. • Labeled social media, e-commerce, and user-generated images for diverse industries. • Utilized annotation software such as CVAT, Labelbox, and Scale AI. • Prioritized context and cultural nuance in visual and textual annotation tasks. • Delivered high-quality results under tight deadlines.

As a freelance Data Annotator, I annotated thousands of images, videos, and text datasets for AI training purposes. I created detailed, context-aware descriptions of images to improve machine understanding and identified tone, emotion, and cultural references. I performed quality checks to ensure annotation accuracy and consistency. • Labeled social media, e-commerce, and user-generated images for diverse industries. • Utilized annotation software such as CVAT, Labelbox, and Scale AI. • Prioritized context and cultural nuance in visual and textual annotation tasks. • Delivered high-quality results under tight deadlines.

2023 - Present

E-commerce Dataset Annotation

LabelboxImageClassification

In the E-commerce Dataset Annotation project, I categorized and tagged product images for AI recommendation systems. I ensured each label was accurate and consistent with the product taxonomy. My work helped train AI models to better understand product attributes. • Labeled and categorized a variety of e-commerce product images. • Focused on accuracy and relevance of categorical tags. • Improved AI model recommendations through precise annotation. • Used Labelbox and other annotation tools to complete the project.

In the E-commerce Dataset Annotation project, I categorized and tagged product images for AI recommendation systems. I ensured each label was accurate and consistent with the product taxonomy. My work helped train AI models to better understand product attributes. • Labeled and categorized a variety of e-commerce product images. • Focused on accuracy and relevance of categorical tags. • Improved AI model recommendations through precise annotation. • Used Labelbox and other annotation tools to complete the project.

2023 - 2023

Social Media Image Annotation Project

LabelboxImageClassification

For the Social Media Image Annotation Project, I labeled and described viral image content. I identified trends, tone, and cultural references in visual media. My annotations contributed to improved AI model perception of internet culture. • Applied context and culture knowledge for accurate annotation. • Focused on viral social media images and trends. • Delivered insight-driven image labels for model enhancement. • Used annotation software including Labelbox and CVAT.

For the Social Media Image Annotation Project, I labeled and described viral image content. I identified trends, tone, and cultural references in visual media. My annotations contributed to improved AI model perception of internet culture. • Applied context and culture knowledge for accurate annotation. • Focused on viral social media images and trends. • Delivered insight-driven image labels for model enhancement. • Used annotation software including Labelbox and CVAT.

2023 - 2023

Multilingual Text Annotation

Scale AIText

In the Multilingual Text Annotation project, I annotated and translated text datasets in English, Hausa, and Pidgin for NLP models. I reviewed linguistic accuracy and contextual appropriateness in all annotations. My efforts contributed to AI systems that understand regional language nuances. • Conducted text annotation and translation for NLP. • Focused on English, Hausa, and Pidgin data sources. • Reviewed and validated multilingual data for quality. • Used annotation tools like Scale AI and Labelbox for text datasets.

In the Multilingual Text Annotation project, I annotated and translated text datasets in English, Hausa, and Pidgin for NLP models. I reviewed linguistic accuracy and contextual appropriateness in all annotations. My efforts contributed to AI systems that understand regional language nuances. • Conducted text annotation and translation for NLP. • Focused on English, Hausa, and Pidgin data sources. • Reviewed and validated multilingual data for quality. • Used annotation tools like Scale AI and Labelbox for text datasets.

2022 - 2023

Junior Data Annotator / Content Analyst

CVATImageClassification

In the Junior Data Annotator / Content Analyst role, I assisted in labeling and categorizing datasets for machine learning models. I interpreted images and generated descriptive captions following project guidelines. I reviewed team annotations to improve dataset quality and consistency. • Collaborated to maintain annotation accuracy across projects. • Worked primarily on image classification and captioning tasks. • Focused on descriptive, guideline-driven annotation. • Reviewed large volumes of data for accuracy improvement.

In the Junior Data Annotator / Content Analyst role, I assisted in labeling and categorizing datasets for machine learning models. I interpreted images and generated descriptive captions following project guidelines. I reviewed team annotations to improve dataset quality and consistency. • Collaborated to maintain annotation accuracy across projects. • Worked primarily on image classification and captioning tasks. • Focused on descriptive, guideline-driven annotation. • Reviewed large volumes of data for accuracy improvement.

2022 - 2023

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Education

Work History