Onuze Augustine

Key Skills

Software

Appen

Data Annotation Tech

Labelbox

Top Subject Matter

Computer Vision

Nlp Domain Expertise

Multilingual AI

Top Data Types

Image

Text

Video

Document

Top Task Types

Prompt + Response Writing (SFT)

Question Answering

Text Generation

Text Summarization

Classification

Bounding Box

Transcription

Freelancer Overview

Senior Data Annotation Specialist. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Labelbox. Education includes Bachelor of Science, University of Nigeria, Nsukka (2019). AI-training focus includes data types such as Image and labeling workflows including Classification and Bounding Box.

Labeling Experience

Senior Data Annotation Specialist

ImageClassification

As Senior Data Annotation Specialist at Awarri, I annotated and labeled over 50,000 data points monthly, covering images, videos, and text datasets for AI training. My focus was on supporting computer vision, NLP, and multilingual models, ensuring data quality and cultural relevance throughout projects. I also drove quality reviews, mentored junior annotators, and collaborated on guideline development for African-context AI datasets. • Labeled multimodal datasets in English and Nigerian languages for computer vision and NLP. • Enhanced quality by 20% through rigorous validation and addressing cultural context. • Refined annotation guidelines for African AI applications, ensuring up to 97% project precision. • Ensured privacy compliance and team upskilling on ethical data sourcing practices.

As Senior Data Annotation Specialist at Awarri, I annotated and labeled over 50,000 data points monthly, covering images, videos, and text datasets for AI training. My focus was on supporting computer vision, NLP, and multilingual models, ensuring data quality and cultural relevance throughout projects. I also drove quality reviews, mentored junior annotators, and collaborated on guideline development for African-context AI datasets. • Labeled multimodal datasets in English and Nigerian languages for computer vision and NLP. • Enhanced quality by 20% through rigorous validation and addressing cultural context. • Refined annotation guidelines for African AI applications, ensuring up to 97% project precision. • Ensured privacy compliance and team upskilling on ethical data sourcing practices.

2023 - Present

Data Annotator / Quality Reviewer

LabelboxImageClassification

As a Data Annotator and Quality Reviewer with Appen and CrowdGen, I labeled and validated datasets on platforms such as Labelbox for autonomous systems, sentiment analysis, and e-commerce relevance projects. My responsibilities included ensuring high annotation quality, supporting machine learning training, and refining annotation strategies. I maintained quality and consistency in multilingual and Africa-specific data annotation projects. • Used Labelbox and custom tools to label diverse datasets and validate other contributors’ work. • Supported ML training with high-quality input, consistently achieving high-quality scores. • Resolved annotation anomalies and contributed to efficiency improvements on large-scale projects. • Provided feedback and participated in strategy refinement for multicultural labeling tasks.

As a Data Annotator and Quality Reviewer with Appen and CrowdGen, I labeled and validated datasets on platforms such as Labelbox for autonomous systems, sentiment analysis, and e-commerce relevance projects. My responsibilities included ensuring high annotation quality, supporting machine learning training, and refining annotation strategies. I maintained quality and consistency in multilingual and Africa-specific data annotation projects. • Used Labelbox and custom tools to label diverse datasets and validate other contributors’ work. • Supported ML training with high-quality input, consistently achieving high-quality scores. • Resolved annotation anomalies and contributed to efficiency improvements on large-scale projects. • Provided feedback and participated in strategy refinement for multicultural labeling tasks.

2020 - 2022

Junior Data Annotator

ImageBounding Box

In my role as Junior Data Annotator for RWS TrainAI, I specialized in annotating datasets for AI training, including image bounding boxes, text classification, semantic segmentation, and audio transcription. I developed expertise in annotation tools and contributed to quality control initiatives through label verification. My work supported model improvement across a variety of subject domains. • Focused on image bounding boxes, semantic segmentation, and text classification tasks. • Participated in quality control and documentation to ensure accurate labeling. • Enhanced model performance through precise annotation and auditing of labeled data. • Used a range of annotation platforms to support diverse AI model objectives.

In my role as Junior Data Annotator for RWS TrainAI, I specialized in annotating datasets for AI training, including image bounding boxes, text classification, semantic segmentation, and audio transcription. I developed expertise in annotation tools and contributed to quality control initiatives through label verification. My work supported model improvement across a variety of subject domains. • Focused on image bounding boxes, semantic segmentation, and text classification tasks. • Participated in quality control and documentation to ensure accurate labeling. • Enhanced model performance through precise annotation and auditing of labeled data. • Used a range of annotation platforms to support diverse AI model objectives.

2019 - 2020

Education

Work History