Chioma Julietviva

Key Skills

Software

Data Annotation Tech

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Evaluation Rating

Freelancer Overview

I am a detail-oriented AI Data Labeler and Annotation Specialist with hands-on experience supporting machine learning and large language model training. My work involves meticulously labeling and validating large-scale text datasets, evaluating AI-generated outputs for accuracy and safety, and identifying edge cases to enhance model performance. I am skilled in following strict annotation guidelines and ensuring high-quality labeled data for AI pipelines. With a background in biochemistry and additional training in AI, machine learning, and web development, I bring strong analytical skills and technical proficiency in Python, HTML, CSS, and JavaScript. I am committed to delivering precise, reliable data annotation to drive successful AI projects.

Labeling Experience

AI Training & Data Annotation Specialist

Data Annotation TechTextEvaluation Rating

As an AI Training & Data Annotation Specialist at Turing Tech LLC, I labeled and validated large-scale text datasets for large language model (LLM) training. I evaluated AI-generated outputs for accuracy, relevance, and safety and identified annotation inconsistencies and edge cases to improve model performance. I consistently maintained high accuracy while meeting strict productivity and quality benchmarks. • Labeled and validated text data for LLM and AI model training • Evaluated AI outputs to ensure compliance with guidelines • Detected annotation inconsistencies and edge cases • Ensured data quality for AI training pipelines

As an AI Training & Data Annotation Specialist at Turing Tech LLC, I labeled and validated large-scale text datasets for large language model (LLM) training. I evaluated AI-generated outputs for accuracy, relevance, and safety and identified annotation inconsistencies and edge cases to improve model performance. I consistently maintained high accuracy while meeting strict productivity and quality benchmarks. • Labeled and validated text data for LLM and AI model training • Evaluated AI outputs to ensure compliance with guidelines • Detected annotation inconsistencies and edge cases • Ensured data quality for AI training pipelines

2024

Education

Work History