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Arisekola Muritala

Arisekola Muritala

Specialist in Data Annotation / Labelling, and Tagging

Nigeria flagLagos, Nigeria
$10.00/hrIntermediateAppenGoogle Cloud Vertex AIMindrift

Key Skills

Software

AppenAppen
Google Cloud Vertex AIGoogle Cloud Vertex AI
MindriftMindrift
SamaSama
SuperAnnotateSuperAnnotate
TelusTelus

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
DocumentDocument
ImageImage

Top Task Types

Bounding Box
Data Collection
Mapping
Object Detection
Translation Localization

Freelancer Overview

Computer Vision annotation, contributing to the development of high-quality AI training datasets. With a background in operations management and data analysis, I bring a structured, analytical approach to data labeling, ensuring accuracy and efficiency in AI model development. Proficient in data annotation software, R programming, and data analysis tools, I have successfully annotated and labeled over 50+ data items per day while staying updated on the latest best practices in machine learning data preparation. Additionally, my experience in project management and process optimization strengthens my ability to collaborate effectively with data scientists and engineering teams to enhance AI model performance. Adept at problem-solving, attention to detail, and structured data processing, I am passionate about leveraging my expertise to support AI advancements through meticulous data curation and annotation.

IntermediateArabicFrenchYorubaEnglish

Labeling Experience

Appen

Data Annotation for NLP Models

AppenTextEntity Ner ClassificationText Generation
This project focused on text data annotation to enhance the training of Natural Language Processing (NLP) models used for tasks such as sentiment analysis, entity recognition, and intent classification. The goal was to create a high-quality labeled dataset that would improve AI model accuracy and contextual understanding.

This project focused on text data annotation to enhance the training of Natural Language Processing (NLP) models used for tasks such as sentiment analysis, entity recognition, and intent classification. The goal was to create a high-quality labeled dataset that would improve AI model accuracy and contextual understanding.

2023 - 2023

Education

U

University of Ibadan

Bachelor of Science, Biochemistry

Bachelor of Science
2007 - 2011

Work History

M

Merch.eco

Supplier Relationship Manager (Part time)

London
2024 - Present
G

Gasone Energy Ventures

Head of Operations

Lagos
2022 - 2023