Christopher Essien

Key Skills

Software

OneForma

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Data Collection

Translation Localization

Freelancer Overview

I am a skilled Data Annotator with hands-on experience working on AI training projects via OneForma. My work has included high-accuracy labeling of text, images, and audio data used to train and improve large language models and computer vision systems. I’ve collaborated on international projects requiring strong attention to detail, consistency, and adherence to strict annotation guidelines. With a background in content moderation and digital task evaluation, I bring a deep understanding of how clean, well-labeled data contributes to smarter AI systems. I’m proficient in using remote annotation tools, and I consistently meet deadlines while maintaining quality. My strengths include prompt evaluation, image classification, and content review, making me a valuable contributor to teams building cutting-edge AI technologies.

Labeling Experience

Text & Image Annotation for AI Model Training

OneformaTextEntity Ner ClassificationEmotion Recognition

Worked as a Data Annotator on international projects for OneForma. Tasks included labeling entities in text, evaluating chatbot responses, classifying emotions in short content, and annotating image content for object detection and classification. I collaborated on both text and image-based tasks used to improve NLP and visual recognition systems. The project required consistent quality, attention to detail, and adherence to specific labeling guidelines. Quality assurance reviews were conducted regularly, and I maintained over 95% task accuracy across multiple tasks

Worked as a Data Annotator on international projects for OneForma. Tasks included labeling entities in text, evaluating chatbot responses, classifying emotions in short content, and annotating image content for object detection and classification. I collaborated on both text and image-based tasks used to improve NLP and visual recognition systems. The project required consistent quality, attention to detail, and adherence to specific labeling guidelines. Quality assurance reviews were conducted regularly, and I maintained over 95% task accuracy across multiple tasks

2022

Education

Work History