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Alfred Vega

AI Data Annotation Specialist

Expert

Key Skills

Software

No software listed

Top Subject Matter

AI/NLP/Data Annotation
AI/NLP/Content Evaluation

Top Data Types

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ImageImage

Top Task Types

Classification

Freelancer Overview

AI Data Annotation Specialist. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, University of California, Berkeley (2017) and Bachelor of Arts, University of Washington (2011). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Expert

Labeling Experience

AI Data Annotation Specialist

TextClassification
As an AI Data Annotation Specialist, I provided high-quality annotations across text, image, and audio datasets to train production AI systems. My work focused on ensuring data integrity, strict adherence to compliance standards, and minimizing bias throughout the annotation process. I maintained accuracy and efficiency, resulting in the consistent delivery of high-volume, production-grade annotations. • Delivered over 250,000 high-precision annotations for NLP and computer vision models • Maintained a 99.2% accuracy rate, reducing rework cycles by an estimated 30% • Improved project throughput by refining annotation guidelines and increasing agreement rates • Supported multi-phase model training pipelines in remote, compliant environments

As an AI Data Annotation Specialist, I provided high-quality annotations across text, image, and audio datasets to train production AI systems. My work focused on ensuring data integrity, strict adherence to compliance standards, and minimizing bias throughout the annotation process. I maintained accuracy and efficiency, resulting in the consistent delivery of high-volume, production-grade annotations. • Delivered over 250,000 high-precision annotations for NLP and computer vision models • Maintained a 99.2% accuracy rate, reducing rework cycles by an estimated 30% • Improved project throughput by refining annotation guidelines and increasing agreement rates • Supported multi-phase model training pipelines in remote, compliant environments

2021 - Present

AI Content Evaluator

Text
As an AI Content Evaluator, I assessed thousands of AI-generated responses for clarity, accuracy, and user satisfaction. I contributed insights that improved AI model performance and helped reduce systemic model bias. Structured feedback provided was integral to maintaining high scoring consistency and trust metrics. • Evaluated more than 10,000 outputs for relevance and quality • Played a pivotal role in fine-tuning evaluation rubrics for new content formats • Detected and flagged patterns of AI bias, supporting model improvements • Ranked among the top 5% of global raters due to guideline adherence and audit scores

As an AI Content Evaluator, I assessed thousands of AI-generated responses for clarity, accuracy, and user satisfaction. I contributed insights that improved AI model performance and helped reduce systemic model bias. Structured feedback provided was integral to maintaining high scoring consistency and trust metrics. • Evaluated more than 10,000 outputs for relevance and quality • Played a pivotal role in fine-tuning evaluation rubrics for new content formats • Detected and flagged patterns of AI bias, supporting model improvements • Ranked among the top 5% of global raters due to guideline adherence and audit scores

2017 - 2021

Education

U

University of California, Berkeley

Master of Science, Data Science

Master of Science
2015 - 2017
U

University of Washington

Bachelor of Arts, English Linguistics

Bachelor of Arts
2007 - 2011

Work History

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