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Popoola Omolabake

Popoola Omolabake

Data Annotation Specialist — Text Annotation & Validation

Nigeria flagIbadan, Nigeria
$15.00/hrIntermediateMicro1MindriftToloka

Key Skills

Software

Micro1
MindriftMindrift
TolokaToloka
CVATCVAT
OneFormaOneForma

Top Subject Matter

AI and NLP model training
Visual Recognition AI Training
AI and Machine Learning Video Training

Top Data Types

ImageImage
VideoVideo
AudioAudio

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
ClassificationClassification
Emotion RecognitionEmotion Recognition
Bounding BoxBounding Box
SegmentationSegmentation
Question AnsweringQuestion Answering
TranscriptionTranscription
Data CollectionData Collection

Freelancer Overview

Data Annotation Specialist — Text Annotation & Validation. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Arts, Tai Solarin University of Education (2021) and Certification, ALX Africa (2024). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Entity (NER) Classification, Classification, and Emotion Recognition.

IntermediateEnglishYoruba

Labeling Experience

Data Annotation Specialist — Audio Sentiment & Emotion Labeling

AudioEmotion Recognition
At HUGO, I specialized in audio sentiment annotation, focusing on the emotional tone and speaker intent within spoken-word datasets. My duties included labeling sentiment polarity and classifying acoustic features to support speech-based AI model development. Consistent application of labeling protocols and identification of nuanced audio cues were key to my role. • Annotated spoken audio clips for emotional tone and speaker intent. • Classified sentiment into positive, negative, and neutral categories. • Labeled prosodic features such as pitch, pace, and stress. • Improved dataset quality through meticulous validation and feedback reporting.

At HUGO, I specialized in audio sentiment annotation, focusing on the emotional tone and speaker intent within spoken-word datasets. My duties included labeling sentiment polarity and classifying acoustic features to support speech-based AI model development. Consistent application of labeling protocols and identification of nuanced audio cues were key to my role. • Annotated spoken audio clips for emotional tone and speaker intent. • Classified sentiment into positive, negative, and neutral categories. • Labeled prosodic features such as pitch, pace, and stress. • Improved dataset quality through meticulous validation and feedback reporting.

2024 - Present

Data Annotation Specialist — Video Annotation

VideoClassification
As part of my responsibilities at HUGO, I annotated and validated video datasets used for training advanced AI and machine learning models. The role demanded precision in following defined video labeling criteria and delivering consistently high-quality results. Data integrity and careful video analysis were essential to the success of these projects. • Applied labels to large-scale video content according to project needs. • Ensured all annotations matched required video data standards. • Reported and resolved quality issues with annotation outputs. • Facilitated knowledge sharing with other team members through structured feedback.

As part of my responsibilities at HUGO, I annotated and validated video datasets used for training advanced AI and machine learning models. The role demanded precision in following defined video labeling criteria and delivering consistently high-quality results. Data integrity and careful video analysis were essential to the success of these projects. • Applied labels to large-scale video content according to project needs. • Ensured all annotations matched required video data standards. • Reported and resolved quality issues with annotation outputs. • Facilitated knowledge sharing with other team members through structured feedback.

2024 - Present

Data Annotation Specialist — Image Classification & Annotation

ImageClassification
In my role as a Data Annotation Specialist at HUGO, I performed image dataset classification to support large-scale AI training initiatives. Image annotation work required strict adherence to comprehensive labeling instructions and quality control measures. My contributions directly supported the preparation of accurate, structured image data for machine learning models. • Classified and annotated image datasets for AI model input. • Maintained rigorous compliance with image annotation specifications. • Collaborated with QA teams to uphold high data accuracy. • Supported process improvement by documenting feedback and inconsistencies.

In my role as a Data Annotation Specialist at HUGO, I performed image dataset classification to support large-scale AI training initiatives. Image annotation work required strict adherence to comprehensive labeling instructions and quality control measures. My contributions directly supported the preparation of accurate, structured image data for machine learning models. • Classified and annotated image datasets for AI model input. • Maintained rigorous compliance with image annotation specifications. • Collaborated with QA teams to uphold high data accuracy. • Supported process improvement by documenting feedback and inconsistencies.

2024 - Present

Data Annotation Specialist — Text Annotation & Validation

TextEntity Ner Classification
As a Data Annotation Specialist at HUGO, I worked on annotating and validating large-scale text datasets for AI and NLP model training. My primary focus was on accurate and comprehensive entity and sentiment labeling, adhering strictly to annotation guidelines. I consistently contributed to dataset accuracy and integrity for high-quality AI model development. • Labeled named entities and sentiment within diverse text data. • Ensured 100% compliance with annotation guidelines and quality benchmarks. • Detected and corrected labeling inconsistencies to enhance data quality. • Provided feedback for improving annotation tools and team workflows.

As a Data Annotation Specialist at HUGO, I worked on annotating and validating large-scale text datasets for AI and NLP model training. My primary focus was on accurate and comprehensive entity and sentiment labeling, adhering strictly to annotation guidelines. I consistently contributed to dataset accuracy and integrity for high-quality AI model development. • Labeled named entities and sentiment within diverse text data. • Ensured 100% compliance with annotation guidelines and quality benchmarks. • Detected and corrected labeling inconsistencies to enhance data quality. • Provided feedback for improving annotation tools and team workflows.

2024 - Present

Education

E

EF SET

Certificate, English Language Proficiency

Certificate
2025 - 2025
A

ALX Africa

Certification, Virtual Assistance

Certification
2024 - 2024

Work History

H

Hugo Inc.

Data Annotator

Ibadan
2024 - Present
P

Personal Assistant

Personal Assistant

Ijebu Ode
2022 - 2023