Chukwunonso Nwagbo

Key Skills

Software

OneForma

Appen

Data Annotation Tech

Remotasks

Scale AI

Top Subject Matter

Natural Language Processing

Top Data Types

Text

Audio

Image

Top Task Types

Transcription

Freelancer Overview

AI Data Annotator and Analyst with 7+ years of experience supporting data-driven and AI training initiatives across platforms like OneForma, Outlier and Atlas capture. Skilled in data labeling, validation and quality control for NLP tasks including text classification, transcription, summarization and error detection, consistently maintaining 90%+ QA scores while adhering to complex annotation guidelines. Bringing a strong analytical background and attention to detail, I contribute to improving dataset quality by identifying inconsistencies and edge cases, ensuring reliable training data for machine learning models. I combine annotation expertise with experience in Agile environments and tools like Jira, ClickUp, Trello and Asana to deliver accurate, scalable and high-impact results in remote AI projects.

Labeling Experience

Data Annotator

OneformaTextTranscription

As a Data Annotator at OneForma, I labeled and annotated datasets for natural language processing tasks. I performed training activities like transcription, validation, text generation, summarization, and error detection to prepare data for machine learning models. I ensured that all annotations complied with strict quality and guideline benchmarks. • Labeled diverse text datasets for NLP and machine learning • Performed transcription, validation, and error detection • Carried out text generation and summarization annotations • Maintained high standards for annotation quality and consistency

As a Data Annotator at OneForma, I labeled and annotated datasets for natural language processing tasks. I performed training activities like transcription, validation, text generation, summarization, and error detection to prepare data for machine learning models. I ensured that all annotations complied with strict quality and guideline benchmarks. • Labeled diverse text datasets for NLP and machine learning • Performed transcription, validation, and error detection • Carried out text generation and summarization annotations • Maintained high standards for annotation quality and consistency

2025 - Present

Education

Work History