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Chinonso Samuel

Senior Data Annotator — Freelance / Remote

NIGERIA flag
Lagos, Nigeria
$75.00/hrExpertLabelboxSupervisely

Key Skills

Software

LabelboxLabelbox
SuperviselySupervisely

Top Subject Matter

AI/Machine Learning
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

ImageImage
DocumentDocument

Top Task Types

Segmentation
Classification

Freelancer Overview

I am an experienced Data Annotator and AI training data specialist with a strong background in preparing high-quality datasets for machine learning models. My expertise includes image, text, audio, and video annotation, covering tasks such as bounding boxes, segmentation, and natural language tagging. I maintain high accuracy and consistency by following detailed guidelines and performing thorough quality checks. I am proficient in tools like CVAT, Labelbox, and Supervisely, and I understand the impact of well-structured data on model performance. I have contributed to diverse projects in computer vision and NLP, collaborating with teams to refine annotation processes and improve dataset quality. I work efficiently with large datasets, meet tight deadlines, and pay close attention to detail. I also have training in AI data workflows and continuously update my skills to stay aligned with industry standards.

ExpertEnglish

Labeling Experience

Labelbox

Senior Data Annotator — Freelance / Remote

LabelboxImageSegmentation
As a Senior Data Annotator (Freelance/Remote), I annotated large-scale datasets for both computer vision and NLP machine learning models. I ensured high accuracy through quality checks and validation processes while collaborating with AI engineers to refine annotation guidelines. I managed complex labeling tasks including segmentation and classification using advanced annotation tools. • Labeled images, text, audio, and video data with structured taxonomies. • Utilized tools such as Labelbox, CVAT, and Supervisely to annotate and validate datasets. • Focused on maintaining accuracy, consistency, and efficiency across large datasets. • Performed quality assurance and participated in guideline development.

As a Senior Data Annotator (Freelance/Remote), I annotated large-scale datasets for both computer vision and NLP machine learning models. I ensured high accuracy through quality checks and validation processes while collaborating with AI engineers to refine annotation guidelines. I managed complex labeling tasks including segmentation and classification using advanced annotation tools. • Labeled images, text, audio, and video data with structured taxonomies. • Utilized tools such as Labelbox, CVAT, and Supervisely to annotate and validate datasets. • Focused on maintaining accuracy, consistency, and efficiency across large datasets. • Performed quality assurance and participated in guideline development.

2023 - Present
Supervisely

Data Labeling Specialist — Contract Role

SuperviselyImageClassification
As a Data Labeling Specialist (Contract Role), I labeled and categorized diverse datasets using predefined taxonomies. I was responsible for maintaining consistency across thousands of data points while reviewing and correcting annotations to improve dataset quality. I met strict deadlines and ensured high performance in delivering accurate labeled data. • Labeled and categorized image, text, audio, and video data as per project requirements. • Used tools including Supervisely, CVAT, and Labelbox for annotation tasks. • Focused on quality control and correction of annotations to enhance dataset utility. • Managed large volumes of data within tight timeframes and quality standards.

As a Data Labeling Specialist (Contract Role), I labeled and categorized diverse datasets using predefined taxonomies. I was responsible for maintaining consistency across thousands of data points while reviewing and correcting annotations to improve dataset quality. I met strict deadlines and ensured high performance in delivering accurate labeled data. • Labeled and categorized image, text, audio, and video data as per project requirements. • Used tools including Supervisely, CVAT, and Labelbox for annotation tasks. • Focused on quality control and correction of annotations to enhance dataset utility. • Managed large volumes of data within tight timeframes and quality standards.

2021 - 2023

Education

U

University of Nigeria Nsukka

Bachelor of Engineering, Metallurgical and Materials Engineering

Bachelor of Engineering
2017 - 2023

Work History

F

Freelance / Remote

Senior Data Annotator

Location not specified
2023 - Present
C

Contract Role

Data Labeling Specialist

Location not specified
2021 - 2023