Raymond Mose Omonche

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Entity Ner Classification

Freelancer Overview

I am a detail-oriented Data Annotation Specialist with hands-on experience supporting AI and machine learning projects by accurately labeling and categorizing large-scale datasets. My background in Computer Science has equipped me with a solid understanding of data structures and AI fundamentals, which I apply when annotating text, image, audio, and video data. I have worked extensively on NLP tasks such as sentiment analysis, intent detection, and named entity recognition, as well as image annotation using bounding boxes and segmentation techniques. I am skilled in using various annotation platforms, Microsoft Excel, Google Sheets, and have a basic command of Python and Git. I consistently follow strict guidelines to ensure high data quality, conduct thorough validation checks, and meet productivity targets without compromising precision. My strong time management and attention to detail enable me to deliver reliable training data for AI models across different domains.

Labeling Experience

Data Annotation Specialist – Appen | OneForma

AppenTextEntity Ner Classification

As a Data Annotation Specialist at Appen | OneForma, I labeled large-scale text datasets for AI training. My responsibilities included sentiment analysis, intent detection, and entity recognition to support NLP projects. I adhered to strict annotation guidelines and performed validation checks to maintain data accuracy. • Labeled text for multiple NLP use cases including sentiment and intent. • Conducted quality checks to ensure accurate annotations. • Worked with large-scale and diverse textual datasets. • Maintained high precision and consistency while meeting productivity targets.

As a Data Annotation Specialist at Appen | OneForma, I labeled large-scale text datasets for AI training. My responsibilities included sentiment analysis, intent detection, and entity recognition to support NLP projects. I adhered to strict annotation guidelines and performed validation checks to maintain data accuracy. • Labeled text for multiple NLP use cases including sentiment and intent. • Conducted quality checks to ensure accurate annotations. • Worked with large-scale and diverse textual datasets. • Maintained high precision and consistency while meeting productivity targets.

2023

Education

Work History