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Beckett Cruz Whitaker

Beckett Cruz Whitaker

AI Data Specialist - Data Annotation & Quality Assurance

USA flag
FORT WORTH, Usa
$30.00/hrExpertAppen

Key Skills

Software

AppenAppen

Top Subject Matter

No subject matter listed

Top Data Types

TextText

Top Label Types

Text Summarization
RLHF
Fine Tuning

Freelancer Overview

I am a highly motivated AI Data Specialist and Data Analyst with over 7 years of experience in data annotation, labeling, and quality assurance for machine learning and AI projects. My background includes hands-on work with large-scale image, video, and audio tagging, as well as NLP dataset preparation, pairwise comparisons, and content evaluation to ensure accuracy, safety, and ethical alignment. I am skilled in using annotation tools such as Label Studio, CVAT, Prodigy, Appen, and TELUS AI, and have consistently maintained high accuracy scores in fast-paced production environments. With a Master’s in Data Science & AI and strong analytical and communication skills, I excel at dataset validation, error detection, and workflow optimization. My experience spans domains such as computer vision, natural language processing, and e-commerce operations, and I am committed to delivering high-quality training data that powers reliable and responsible AI systems.

ExpertEnglish

Labeling Experience

Appen

Semantic Text Classification & Sentiment Analysis Dataset

AppenTextText SummarizationRLHF
Participated in an academic research project focused on creating a high-quality labeled dataset for NLP model training. Classified and tagged thousands of text samples according to semantic categories and sentiment labels. Performed detailed linguistic analysis and error detection to ensure dataset accuracy and reliability. Collaborated with research teams to refine annotation guidelines and resolve ambiguous edge cases.

Participated in an academic research project focused on creating a high-quality labeled dataset for NLP model training. Classified and tagged thousands of text samples according to semantic categories and sentiment labels. Performed detailed linguistic analysis and error detection to ensure dataset accuracy and reliability. Collaborated with research teams to refine annotation guidelines and resolve ambiguous edge cases.

2022 - 2022

Education

U

University of Texas at Arlington

Master of Science, Data Science and Artificial Intelligence

Master of Science
2018 - 2020
U

University of North Texas

Bachelor of Science, Computer Science and Information Systems

Bachelor of Science
2013 - 2017

Work History

T

Texas Christian University

Data Analyst & Research Assistant

Fort Worth
2020 - 2022
A

Amazon Fulfillment Services

Operations & Data Quality Associate

Dallas–Fort Worth
2017 - 2020