Abdulazeez O.

Key Skills

Software

Appen

Top Subject Matter

AI training data preparation (multilingual NLP, speech, and content moderation)

AI training data preparation (video annotation)

Content safety moderation labeling

Top Data Types

Text

Audio

Image

Video

Top Task Types

Entity (NER) Classification

Classification

Transcription

Action Recognition

Red Teaming

Freelancer Overview

Data Annotation Specialist (Appen | Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, N, and A. Education includes National Diploma, Kwara State Polytechnic (2022) and Bachelor of Science, Kwara State University (2026). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Entity (NER) Classification, Sentiment Analysis, and Translation.

Labeling Experience

Volunteer (SocialMediaSafe | Remote)

TextClassificationRed Teaming

Flagged and categorized misinformation and hate speech content to improve platform safety. Used consistent labeling criteria to support safer user experiences. Provided ongoing assistance as part of a social media safety initiative. • Harmful content identification • Misinformation categorization • Hate speech categorization • Continuous moderation labeling support

2026 - Present

Data Annotation Specialist (Atlas Capture | Remote)

VideoAction RecognitionClassification

Performed high-volume video annotation to support model training. Maintained documentation and reporting of annotated datasets to share insights that improved training accuracy. Contributed to iterative quality improvements through analysis of annotation outputs. • Video dataset annotation • Accuracy-focused reporting • Insight sharing to improve model performance • Supporting labeling QA for training readiness

2025 - Present

Data Annotation Specialist (Appen | Remote)

AppenTextEntity (NER) ClassificationClassification

Annotated large-scale datasets spanning text, audio, and images while supporting downstream model training. Specialized in multilingual entity recognition, sentiment analysis, and voice data labeling for speech recognition. Conducted ongoing social media moderation labeling by identifying and categorizing harmful content. • Entity recognition across multilingual contexts • Sentiment and speech-related labeling • Social-media harmful content categorization • QA-driven error reduction to improve training quality

2019 - 2024

Education

Work History