Nifesimi Fabelurin

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Top Label Types

Emotion Recognition

Text Summarization

Translation Localization

Audio Recording

Freelancer Overview

I am an experienced data annotator and AI response evaluator with a strong background in electrical electronics engineering and accounting. My expertise includes labeling and annotating over 1,000 datasets for AI training, with a focus on ensuring grammatical accuracy and contextual relevance, particularly in NLP projects. I have hands-on experience evaluating large language model outputs, providing clear justifications for decisions, and contributing to the continuous improvement of AI systems. Skilled in Python, C#, audio transcription and labeling, and proficient with tools such as Microsoft Office and Google Workspace, I am detail-oriented and efficient, consistently meeting tight deadlines and optimizing workflows. I am passionate about leveraging my multidisciplinary skills to support high-quality AI data operations and contribute to impactful technology solutions.

Labeling Experience

Audio and image annotation

Scale AIAudioEmotion RecognitionText Summarization

I contributed to AI model development through structured image annotation and high-accuracy audio transcription. I applied detailed labeling taxonomies, resolved edge cases using policy documentation, and maintained inter-annotator agreement standards. I also supported quality control processes by reviewing flagged samples, identifying guideline ambiguities, and documenting error trends to improve model training data reliability.

I contributed to AI model development through structured image annotation and high-accuracy audio transcription. I applied detailed labeling taxonomies, resolved edge cases using policy documentation, and maintained inter-annotator agreement standards. I also supported quality control processes by reviewing flagged samples, identifying guideline ambiguities, and documenting error trends to improve model training data reliability.

2025 - 2025

Education

Work History