Onyinyechi Nnalue

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Entity Ner Classification

Segmentation

Classification

Text Generation

Freelancer Overview

I am a detail-oriented data annotation and AI training data specialist with hands-on experience in audio content evaluation, transcription validation, and multimedia data labeling. My work with leading platforms like Appen and TELUS has equipped me with strong skills in reviewing and annotating time-based multimedia content, applying strict guidelines, and ensuring high accuracy and consistency across large datasets. I am adept at using annotation tools, timestamping software, and various AI training platforms to deliver quality outputs in remote, guideline-driven environments. My background in computer science, combined with certifications in data labeling and digital media evaluation, enables me to contribute effectively to projects focused on speech recognition, audio analysis, and content quality assurance. I am committed to maintaining high standards, meeting project deadlines, and supporting the development of reliable AI systems.

Labeling Experience

Data Annotation

AppenImageBounding BoxEntity Ner Classification

I participated in AI training projects to improve machine learning models across text, image and video data tasks, focused on improving accurate and consistent annotations to support model learning and evaluation. Specific Data Labelling Tasks Performed includes Image annotation, including bounding boxes, segmentation and classification of objects. Entity classifications in texts and image. Text generation evaluation for AI quality. Project Size: I annotated datasets ranging from thousands to tens of thousands of image and text samples per project. Worked individually while meeting project deadlines. Quality Measures Adhered To: I followed detailed project specific guidelines to ensure accuracy. Performed quality checks and reviews on annotations. Maintained accuracy above 95% according to internal QA metrics.

I participated in AI training projects to improve machine learning models across text, image and video data tasks, focused on improving accurate and consistent annotations to support model learning and evaluation. Specific Data Labelling Tasks Performed includes Image annotation, including bounding boxes, segmentation and classification of objects. Entity classifications in texts and image. Text generation evaluation for AI quality. Project Size: I annotated datasets ranging from thousands to tens of thousands of image and text samples per project. Worked individually while meeting project deadlines. Quality Measures Adhered To: I followed detailed project specific guidelines to ensure accuracy. Performed quality checks and reviews on annotations. Maintained accuracy above 95% according to internal QA metrics.

2020 - 2025

Education

Work History