David Uanikhoba

Key Skills

Software

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Label Types

Text Generation

Tracking

Transcription

Freelancer Overview

I am a detail-oriented professional with hands-on experience supporting AI training data projects through high-quality voice recordings and precise script-based narration. My background includes delivering clear, expressive audio for AI content evaluation, following strict guidelines for pronunciation, pacing, and intonation—skills directly transferable to data labeling and annotation tasks. I am proficient with digital audio tools such as Audacity, Adobe Audition, and OBS, and excel at maintaining consistency across large datasets. My academic research experience in microbiology, combined with formal training in data analysis using SPSS, has strengthened my analytical abilities and attention to detail. I am committed to producing accurate, reliable data for machine learning and NLP applications, and I thrive in remote, collaborative environments that value quality and innovation.

Labeling Experience

Data labelling

OneformaAudioText Generation

Contributed to a large-scale AI voice training project aimed at improving text-to-speech and natural language understanding systems. Recorded hundreds of hours of high-quality voice data across multiple languages, accents, and emotional tones, ensuring clarity, consistency, and expressive delivery. Performed specific data labeling tasks including reading scripted phrases, annotating audio with metadata (language, accent, emotion, clarity), and segmenting clips for AI ingestion. Adhered to strict quality standards by maintaining uniform recording volume, minimizing background noise, and reviewing samples for pronunciation, pacing, and overall accuracy. Collaborated remotely with a team of contributors to produce diverse, reliable datasets for enhancing AI voice models.

Contributed to a large-scale AI voice training project aimed at improving text-to-speech and natural language understanding systems. Recorded hundreds of hours of high-quality voice data across multiple languages, accents, and emotional tones, ensuring clarity, consistency, and expressive delivery. Performed specific data labeling tasks including reading scripted phrases, annotating audio with metadata (language, accent, emotion, clarity), and segmenting clips for AI ingestion. Adhered to strict quality standards by maintaining uniform recording volume, minimizing background noise, and reviewing samples for pronunciation, pacing, and overall accuracy. Collaborated remotely with a team of contributors to produce diverse, reliable datasets for enhancing AI voice models.

2025 - 2025

Education

Work History