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Hannah Bamgbose

Hannah Bamgbose

Data Processing & Annotation Specialist

Nigeria flagAbeokuta, Nigeria
$10.00/hrIntermediateData Annotation TechCVATLabelbox

Key Skills

Software

Data Annotation TechData Annotation Tech
CVATCVAT
LabelboxLabelbox
Other

Top Subject Matter

Multimodal AI Training

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

ClassificationClassification
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization
SegmentationSegmentation
Evaluation/RatingEvaluation/Rating

Freelancer Overview

I specialize in high-accuracy data annotation for AI training, working across text, image, audio, and video datasets to produce structured, reliable outputs that improve model performance. In my role as a Data Processing & Annotation Specialist, I consistently maintained 95–98% accuracy while handling large datasets, applying detailed labeling guidelines, and performing quality checks to ensure consistency and precision. I am experienced in data classification, tagging, validation, and QA workflows, with strong proficiency in tools such as Google Sheets and structured annotation systems. Beyond execution, I bring strong analytical thinking and a deep understanding of how high-quality data impacts AI models. I’m skilled at identifying inconsistencies, following complex instructions, and refining outputs based on feedback from QA teams. I work efficiently under tight deadlines while maintaining data integrity, and I’m committed to delivering annotation work that is clear, consistent, and aligned with project objectives.

IntermediateEnglish

Labeling Experience

Data Processing & Annotation Specialist

TextClassification
Worked as a Data Processing & Annotation Specialist annotating and labeling text, image, audio, and video datasets for AI model training and optimization. Performed text classification, tagging, and data validation with a consistent accuracy rate of 95–98%. Applied structured workflows and spreadsheet tools to manage and review over 500 data entries weekly. • Conducted quality assurance checks and addressed inconsistencies. • Followed complex project guidelines to deliver high-quality labels under tight deadlines. • Maintained high dataset reliability through rigorous reviews and feedback cycles. • Supported efficient data management by organizing and categorizing large volumes of data.

Worked as a Data Processing & Annotation Specialist annotating and labeling text, image, audio, and video datasets for AI model training and optimization. Performed text classification, tagging, and data validation with a consistent accuracy rate of 95–98%. Applied structured workflows and spreadsheet tools to manage and review over 500 data entries weekly. • Conducted quality assurance checks and addressed inconsistencies. • Followed complex project guidelines to deliver high-quality labels under tight deadlines. • Maintained high dataset reliability through rigorous reviews and feedback cycles. • Supported efficient data management by organizing and categorizing large volumes of data.

2024 - Present

Data Processing & Annotation Specialist (Intern)

TextClassification
Served as an intern Data Processing & Annotation Specialist focusing on text, image, audio, and video annotation for AI model training. Consistently achieved above 95% data labeling accuracy by collaborating with team members and applying feedback to resolve annotation ambiguities. Ensured high output rates and accuracy standards for all assigned multimodal datasets. • Labeled and validated over 500 entries weekly in a structured, deadline-driven environment. • Supported dataset organization and workflow streamlining for team productivity. • Implemented QA feedback to continually improve annotation quality. • Ensured timely delivery and data consistency across all handled tasks.

Served as an intern Data Processing & Annotation Specialist focusing on text, image, audio, and video annotation for AI model training. Consistently achieved above 95% data labeling accuracy by collaborating with team members and applying feedback to resolve annotation ambiguities. Ensured high output rates and accuracy standards for all assigned multimodal datasets. • Labeled and validated over 500 entries weekly in a structured, deadline-driven environment. • Supported dataset organization and workflow streamlining for team productivity. • Implemented QA feedback to continually improve annotation quality. • Ensured timely delivery and data consistency across all handled tasks.

2024 - 2024

Education

A

Aeroport College of Aviation

Diploma, Air Ticketing and Reservation

Diploma
2024 - 2024
T

Tai Solarin University of Education

Bachelor of Science, Transport Planning and Management

Bachelor of Science
2022 - 2022

Work History

R

RemoteHive

Administrative Virtual Assistant

Accra
2026 - Present