Yusuf A.

Key Skills

Software

CVAT

Argilla

Top Subject Matter

Healthcare- Records and Patient Data , Medical Images,

E-Commerce- Customer Support, Customer Review , Product Image labelling

Education and E-Learning- Student Performance, Education Content and Exam Question Labelling

Top Data Types

Image

Text

Document

Top Task Types

Entity (NER) Classification

Bounding Box

Polygon

Point/Key Point

RLHF

Classification

Freelancer Overview

I am a Data Annotation Specialist with hands-on training across a wide range of annotation types including Named Entity Recognition (NER), Sentiment and Sarcasm Analysis, RLHF Response Ranking, Image Annotation, Audio Transcription, Video Annotation, Coreference Resolution, Textual Entailment, Dialogue Act Classification, and Semantic Similarity Scoring. I work with industry-standard tools including CVAT, LabelBox, and Prodigy, and I maintain consistently high Inter-Annotator Agreement (IAA) scores by following project guidelines strictly on every task. My labelling work is grounded in accuracy, consistency, and attention to edge cases — including sarcasm detection, ambiguous named entities, safety flagging in RLHF tasks, and handling unclear audio using proper markers rather than guessing. I bring additional value as a PhD holder in Business Administration with native fluency in both English and Yoruba, making me well suited for expert-level annotation tasks in business, academic, and African language datasets.

Labeling Experience

Data Annotation and Labelling

TextEntity (NER) Classification

Currently completing a structured end-to-end Data Annotation training program covering both foundational and intermediate levels. The program includes Named Entity Recognition, Sentiment and Sarcasm Analysis, RLHF Response Ranking and Safety Flagging, Image Annotation, Audio Transcription, Video Annotation, Coreference Resolution, Textual Entailment, Dialogue Act Classification, Inter-Annotator Agreement

2025 - Present

Education

Work History