Bright Ekanem

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Top Label Types

Point Key Point

Entity Ner Classification

Segmentation

Freelancer Overview

I am an experienced AI Trainer and Data Annotation Specialist with over five years supporting machine learning and large language models through high-quality data labeling, annotation, and evaluation. My background spans narrative and language data evaluation, creative writing, and content development, with a strong focus on natural language processing (NLP) and narrative-based AI applications. I have worked extensively on annotating and validating language, dialogue, and world-building datasets, applying structured guidelines and rubrics to ensure accuracy, coherence, and engagement. Skilled in using annotation platforms, Label Studio, and remote collaboration tools, I excel at delivering detailed feedback and maintaining consistency in fast-paced remote environments. My strengths include attention to detail, creative problem solving, and a commitment to improving AI outputs through disciplined, feedback-driven work.

Labeling Experience

LLM Training Data Annotation & Quality Evaluation project

Label StudioTextPoint Key PointEntity Ner Classification

Annotated and evaluated large scale language and conversational datasets used for training and improving AI language models. Tasks included text classification, sentiment labeling, and response quality assessment. Followed strict annotation guidelines to ensure consistency and accuracy across datasets. conducted validation checks, flagged ambiguous data, and provided structured feedback to improve model learning and performance. Maintained high productivity and accuracy while working in remote annotation workflows.

Annotated and evaluated large scale language and conversational datasets used for training and improving AI language models. Tasks included text classification, sentiment labeling, and response quality assessment. Followed strict annotation guidelines to ensure consistency and accuracy across datasets. conducted validation checks, flagged ambiguous data, and provided structured feedback to improve model learning and performance. Maintained high productivity and accuracy while working in remote annotation workflows.

2019 - 2025

Education

Work History