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Alecsander Elson

Senior Linguistic Quality Analyst

USA flag
Mountain View, Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

Natural Language Processing
Text Quality Evaluation for Language Models
Text Quality for AI Models

Top Data Types

TextText

Top Task Types

No task types listed

Freelancer Overview

Senior Linguistic Quality Analyst. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Stanford University (2016) and Bachelor of Arts, University of California, Berkeley (2014). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Expert

Labeling Experience

Senior Linguistic Quality Analyst

Text
Evaluated and ranked AI-generated text outputs for clarity, fluency, and coherence to enhance large language models. Developed annotation guidelines to standardize assessments across a team of over 15 annotators. Collaborated with machine learning engineers to refine evaluation metrics and improve model quality scores. • Ensured detailed rationale for ranking and assessment decisions • Maintained consistency and high inter-annotator agreement • Focused on outputs for Copilot and Azure AI applications • Enhanced model output quality by 23% through annotation-driven feedback

Evaluated and ranked AI-generated text outputs for clarity, fluency, and coherence to enhance large language models. Developed annotation guidelines to standardize assessments across a team of over 15 annotators. Collaborated with machine learning engineers to refine evaluation metrics and improve model quality scores. • Ensured detailed rationale for ranking and assessment decisions • Maintained consistency and high inter-annotator agreement • Focused on outputs for Copilot and Azure AI applications • Enhanced model output quality by 23% through annotation-driven feedback

2021 - Present

Content Evaluation Specialist

Text
Reviewed and compared pairs of AI-generated textual responses for natural language understanding tasks. Annotated and selected optimal outputs based on clarity, grammar, and coherence, supporting NLP model training. Consistently upheld rigorous project guidelines to maintain high inter-annotator agreement. • Documented rationale to support machine learning initiatives • Focused on evaluating and annotating response quality • Maintained a 98.5% inter-annotator agreement rate • Contributed to training data for AWS NLP models

Reviewed and compared pairs of AI-generated textual responses for natural language understanding tasks. Annotated and selected optimal outputs based on clarity, grammar, and coherence, supporting NLP model training. Consistently upheld rigorous project guidelines to maintain high inter-annotator agreement. • Documented rationale to support machine learning initiatives • Focused on evaluating and annotating response quality • Maintained a 98.5% inter-annotator agreement rate • Contributed to training data for AWS NLP models

2018 - 2020

Education

S

Stanford University

Master of Science, Computational Linguistics

Master of Science
2014 - 2016
U

University of California, Berkeley

Bachelor of Arts, English Literature and Linguistics

Bachelor of Arts
2010 - 2014

Work History

G

Google

Technical Editor & Content Reviewer

Mountain View
2016 - 2018