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Elizabeth Barreto

Elizabeth Barreto

AI Content Evaluator for Substance Use and Harm Reduction Domains

USA flagLos Angeles, Usa
Entry LevelOther

Key Skills

Software

Other

Top Subject Matter

Substance use
harm reduction
overdose prevention

Top Data Types

TextText
DocumentDocument

Top Task Types

No task types listed

Freelancer Overview

AI Content Evaluator for Substance Use and Harm Reduction Domains. Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Doctor of Philosophy, University of Illinois at Chicago School of Public Health (2020) and Master of Public Health, University of Michigan School of Public Health (2017). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Entry Level

Labeling Experience

AI Content Evaluator for Substance Use and Harm Reduction Domains

OtherText
This role involved evaluating the accuracy and safety of AI-generated text related to substance use and harm reduction. Tasks included identifying factual inaccuracies, assessing high-risk content, and providing feedback to improve AI outputs. Experience also included detecting misinformation and revising queries to enhance clarity and appropriateness. • Evaluated AI outputs on substance use topics for factual correctness and risk. • Reviewed and corrected misinformative or ambiguous AI-generated responses. • Applied domain knowledge to assess harm reduction and high-risk scenarios. • Gave feedback for improving the quality and safety of language model outputs.

This role involved evaluating the accuracy and safety of AI-generated text related to substance use and harm reduction. Tasks included identifying factual inaccuracies, assessing high-risk content, and providing feedback to improve AI outputs. Experience also included detecting misinformation and revising queries to enhance clarity and appropriateness. • Evaluated AI outputs on substance use topics for factual correctness and risk. • Reviewed and corrected misinformative or ambiguous AI-generated responses. • Applied domain knowledge to assess harm reduction and high-risk scenarios. • Gave feedback for improving the quality and safety of language model outputs.

Present

Education

U

University of Michigan School of Public Health

Master of Public Health, Health Behavior and Health Education

Master of Public Health
2015 - 2017
L

Loyola Marymount University

Bachelor of Arts, Sociology

Bachelor of Arts
2011 - 2015

Work History

U

UIC Institute On Addictions

Predoctoral Scholar

Chicago
2025 - Present
G

Geeked Labs Public Health Consultancy

Owner and Consultant

Los Angeles
2025 - Present