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Arinze N.

Arinze N.

Freelance Data Annotator (Remote)

Nigeria flagItuku Ozala, Nigeria

Key Skills

Software

CVATCVAT
RoboflowRoboflow
ProdigyProdigy
AWS SageMakerAWS SageMaker
Google Cloud Vertex AIGoogle Cloud Vertex AI
AppenAppen
Data Annotation TechData Annotation Tech
iMeritiMerit
LabelboxLabelbox
Label StudioLabel Studio
Micro1
Mighty AIMighty AI
OneFormaOneForma
RemotasksRemotasks
SuperAnnotateSuperAnnotate
SuperviselySupervisely
TolokaToloka
Internal/Proprietary Tooling
Other

Top Subject Matter

Healthcare medical imaging (X-ray images, Ultrasound images, Ct images, MRI and Mammographic images)
Sports - football, basketball, lawn tennis , sprint races, and others.
E-Commerce - product Categorization and customer support.

Top Data Types

ImageImage
TextText
Medical DicomMedical Dicom

Top Task Types

Bounding BoxBounding Box
Object DetectionObject Detection
PolygonPolygon
SegmentationSegmentation
ClassificationClassification
Point/Key PointPoint/Key Point
Text GenerationText Generation
Text SummarizationText Summarization
Question AnsweringQuestion Answering
TranscriptionTranscription
Data CollectionData Collection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Freelance Data Annotator (Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Roboflow, Prodigy, Labelbox, Label Studio, Toloka, Appen, Scale AI, and Any software. Education includes Bachelor of Science, University of Nigeria, Nsukka (2024). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Bounding Box. I also annotate all kinds of data, from Football, factory, and plant data to other public data.

Labeling Experience

CVAT

Freelance Data Annotator (Remote)

CVATCVATImageImageBounding BoxBounding Box

Freelance Data Annotator providing image annotation and validation for machine learning and computer vision datasets with an emphasis on medical imaging. Work includes creating bounding box, segmentation, polygon, and classification labels for training data reliability. Experience includes remote collaboration with AI engineers and data scientists to improve annotation quality and consistency. • Bounding box and segmentation/polygon annotation • Annotation validation and dataset reliability checks • Medical imaging scope includes X-ray datasets • Remote collaboration with AI/data teams

2025 - Present

Organization

DocumentDocumentClassificationClassification

Manual annotation for named entity recognition with Prodigy

2025 - 2025

Freelance (Remote)

VideoVideoSegmentationSegmentation

Use the segmentation data type to annotate each player on the football pitch.

2024 - 2024

Education

U

University of Nigeria, Nsukka

Bachelor of Science, Medical Radiography

Bachelor of Science
2018 - 2024

Work History

U

University Of Nigeria Teaching Hospital

Radiographer

Ituku Ozala
2024 - Present