Chinaemelum Obiomach Ndidi-chukwuka

Key Skills

Software

Clickworker

Remotasks

Other

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Top Label Types

Audio Recording

Prompt Response Writing SFT

Transcription

Freelancer Overview

I use detailed annotation guidelines to label and evaluate data accurately. This ensures consistency, quality control, and compliance with project standards. Even though I am new to the field, I have quickly developed strong attention to detail and the ability to manage nuanced tasks. This includes identifying edge cases and maintaining high annotation accuracy. What sets me apart is my analytical background and data-driven mindset. With an MSc in Management with Data Analytics and skills in SQL, Excel, and Power BI, I know how structured, high-quality data influences AI model performance. My experience in data analysis and research helps me approach labeling tasks critically. I not only tag data, but also consider context, bias awareness, and how it affects the model. I am flexible, quick to learn new guidelines, and dedicated to providing reliable, high-quality training data.

Labeling Experience

Multimango

Scale AIAudioBounding BoxText Generation

As part of the Outlier Multimango audio recording project, I helped generate and validate audio data for training speech and language models. This included recording scripted and scenario-based audio samples clearly and accurately. I followed phonetic and pronunciation guidelines to ensure the recordings met the required technical quality. The project improved my understanding of how voice datasets are organized and used in AI systems, especially in boosting speech recognition and natural language processing performance.

As part of the Outlier Multimango audio recording project, I helped generate and validate audio data for training speech and language models. This included recording scripted and scenario-based audio samples clearly and accurately. I followed phonetic and pronunciation guidelines to ensure the recordings met the required technical quality. The project improved my understanding of how voice datasets are organized and used in AI systems, especially in boosting speech recognition and natural language processing performance.

2025

Education

Work History