For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
B

Boluwatife Adeboyejo

Data Annotator, Otaku.hugo Company Ltd.

NIGERIA flag
Lagos, Nigeria
$40.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

AI Model Training
Natural Language Processing
Legal Services & Contract Review

Top Data Types

TextText
ImageImage
AudioAudio
DocumentDocument

Top Task Types

Classification
Bounding Box
Evaluation Rating
Transcription
Data Collection
Text Generation
Object Detection

Freelancer Overview

Data Annotator – Otaku.hugo Company Ltd.. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, McPherson University. AI-training focus includes data types such as Text and labeling workflows including Classification.

IntermediateEnglish

Labeling Experience

Data Annotator – Otaku.hugo Company Ltd.

OtherTextClassification
As a Data Annotator at Otaku.hugo Company Ltd., I labeled and reviewed large text, image, and audio datasets to support AI model development and evaluation. I consistently maintained high annotation accuracy through rigorous quality assurance and careful adherence to annotation guidelines. My role involved clarifying label taxonomies and fostering alignment among annotators to reduce rework and improve dataset quality. • Processed and annotated over 1,000 data units weekly covering text, image, and audio data for training and evaluation purposes. • Achieved 95–98% annotation accuracy by strictly following guidelines and quality benchmarks. • Improved inter-annotator agreement rates and reduced rework by 20% via feedback loops and taxonomy clarification. • Supported model development by creating high-quality ground truth data and validating annotated datasets.

As a Data Annotator at Otaku.hugo Company Ltd., I labeled and reviewed large text, image, and audio datasets to support AI model development and evaluation. I consistently maintained high annotation accuracy through rigorous quality assurance and careful adherence to annotation guidelines. My role involved clarifying label taxonomies and fostering alignment among annotators to reduce rework and improve dataset quality. • Processed and annotated over 1,000 data units weekly covering text, image, and audio data for training and evaluation purposes. • Achieved 95–98% annotation accuracy by strictly following guidelines and quality benchmarks. • Improved inter-annotator agreement rates and reduced rework by 20% via feedback loops and taxonomy clarification. • Supported model development by creating high-quality ground truth data and validating annotated datasets.

2024 - Present

Tuscany

ImageClassification
I worked on analyzing facial data across six key cues—demographics, intent and quality, low-light conditions, masks, glasses, and unlock ID matching. The project focused on improving phone face-unlock accuracy by ensuring devices could recognize users across different lighting conditions, skin tones, facial features, gender changes, and accessories such as masks or glasses (clear, semi-transparent, or dark). This work supported the development of a more inclusive, reliable, and secure facial recognition system.

I worked on analyzing facial data across six key cues—demographics, intent and quality, low-light conditions, masks, glasses, and unlock ID matching. The project focused on improving phone face-unlock accuracy by ensuring devices could recognize users across different lighting conditions, skin tones, facial features, gender changes, and accessories such as masks or glasses (clear, semi-transparent, or dark). This work supported the development of a more inclusive, reliable, and secure facial recognition system.

2025 - 2026

Education

M

McPherson University

Bachelor of Science, Mass Communication

Bachelor of Science
Not specified

Work History

A

Accessible Publishers Limited

Copy Editor

Lagos
2021 - 2022