Bianca Ezeala

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Top Label Types

Segmentation

Emotion Recognition

Translation Localization

Transcription

Freelancer Overview

I am a detail-oriented digital and IT services professional with over five years of experience working in fast-paced environments, where accuracy and timely delivery are critical. My background in research, technical writing, and data management has equipped me with strong analytical and organizational skills essential for data labeling and AI training data roles. I am proficient in using CRM and workspace tools such as Hubspot, Zendesk, Trello, and Google Suite, and have hands-on experience with data governance and data security concepts through Datacamp certifications. My experience collaborating across diverse industries has honed my ability to quickly learn new domains, conduct meticulous data analysis, and maintain high standards of data quality and ethical handling. I am committed to supporting AI development by ensuring data is accurately annotated and well-organized, contributing to robust machine learning outcomes.

Labeling Experience

DATA ANNOTATION

AppenAudioSegmentationEmotion Recognition

I was assigned daily tasks that involved transcribing audio clips provided to me. These recordings varied in quality and environment, sometimes featuring multiple speakers or significant background noise. My role was to accurately convert the spoken language in these recordings into text for analysis and model training. In addition to transcription, I annotated the audio data by labeling speaker information such as demographics, speech topic, and emotion. This detailed labeling helped enhance the dataset for developing more personalized AI applications.

I was assigned daily tasks that involved transcribing audio clips provided to me. These recordings varied in quality and environment, sometimes featuring multiple speakers or significant background noise. My role was to accurately convert the spoken language in these recordings into text for analysis and model training. In addition to transcription, I annotated the audio data by labeling speaker information such as demographics, speech topic, and emotion. This detailed labeling helped enhance the dataset for developing more personalized AI applications.

2025 - 2025

Education

Work History