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Data Annotator (Content Understanding) at Hugo Technologies

Nigeria flagIbadan, Nigeria

Key Skills

Software

Don't disclose

Top Subject Matter

Content understanding and media entity verification
Content safety and potentially problematic content classification
FaceNext image safety labeling (BINC categories)

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
ClassificationClassification

Freelancer Overview

Data Annotator (Content Understanding) at Hugo Technologies. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Education, University of Ibadan (2023) and Bachelor of Education, Adekunle Ajasin University (2018). AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification and Classification.

Labeling Experience

Data Annotator (Content Understanding) at Hugo Technologies

Don't discloseTextTextEntity (NER) ClassificationEntity (NER) Classification

Labeled and annotated textual media content to support AI content understanding and entity recognition. Verified named and unnamed entities through side searches and cross-checking media claims. Improved labeling consistency and accuracy according to provided guidelines and standards. • Identify and label named entities within media narratives. • Identify and label unnamed entities within media content. • Conduct side searches to verify media claims and information. • Continuously improve the annotation process for efficiency and accuracy.

2025 - Present

Data Annotator (Potentially Problematic Content) at Hugo Technologies

Don't discloseTextTextClassificationClassification

Classified potentially problematic textual media content to enable machine learning. Developed, implemented, and maintained guidelines and procedures to ensure high quality classification and quality control. Provided feedback and contributed to continuous improvement of the annotation process. • Assign potentially problematic criteria to sensitive content. • Apply and follow established classification guidelines. • Ensure quality control through checks and adherence to standards. • Provide feedback to improve future annotation accuracy.

2024 - 2025

Data Annotator (FaceNext Project) at Hugo Technologies

Don't discloseImageImageClassificationClassification

Annotated and labeled images for the FaceNext project using BINC category criteria. Classified image content into categories covering bystanders, illegal materials, nudity, and child sexual abuse material. Ensured data quality and consistency to optimize downstream machine learning model performance. • Classify images into BINC categories (bystanders, illegal materials, nudity, child sexual abuse material). • Follow labeling rules to maintain consistent category assignments. • Perform quality checks for consistency and accuracy. • Optimize labeled outputs for model training.

2024 - 2024

Education

U

University of Ibadan

Master of Education, Counselling Psychology

Master of Education
2021 - 2023
A

Adekunle Ajasin University

Bachelor of Education, Guidance and Counselling

Bachelor of Education
2012 - 2018

Work History

A

APIN Public Health Initiatives

Enhanced Adherence Counsellor

Ibadan
2022 - 2024
N

National Youth Service Corps (NYSC)

Subject Instructor

Akwa Ibom
2018 - 2019