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M

Mark Misaggia

AI/LLM Scientific Content Evaluator and Chemistry Question Developer

USA flag
Austin, Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

Chemistry (analytical, physical, reaction kinetics, computational modeling)
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

No task types listed

Freelancer Overview

AI/LLM Scientific Content Evaluator and Chemistry Question Developer. Brings 27+ 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, University of Florida (2002) and Bachelor of Science, Florida Atlantic University (1996). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Expert

Labeling Experience

AI/LLM Scientific Content Evaluator and Chemistry Question Developer

Text
Reviewed and evaluated AI-generated scientific content in chemistry for accuracy, conceptual clarity, and logical reasoning. Provided expert feedback on model-generated responses, identifying errors and opportunities for improving reasoning and factual correctness. Designed advanced chemistry questions for use in AI training environments to assess and enhance model understanding. • Ranked AI outputs according to scientific accuracy and depth of reasoning. • Collaborated with data scientists and multidisciplinary teams to refine AI evaluation frameworks. • Contributed to model performance improvement by identifying conceptual gaps in AI responses. • Generated challenging domain-specific problems targeting AI mechanistic and thermodynamic reasoning.

Reviewed and evaluated AI-generated scientific content in chemistry for accuracy, conceptual clarity, and logical reasoning. Provided expert feedback on model-generated responses, identifying errors and opportunities for improving reasoning and factual correctness. Designed advanced chemistry questions for use in AI training environments to assess and enhance model understanding. • Ranked AI outputs according to scientific accuracy and depth of reasoning. • Collaborated with data scientists and multidisciplinary teams to refine AI evaluation frameworks. • Contributed to model performance improvement by identifying conceptual gaps in AI responses. • Generated challenging domain-specific problems targeting AI mechanistic and thermodynamic reasoning.

2003 - Present

Education

U

University of Florida

Master of Science, Chemistry

Master of Science
2000 - 2002
F

Florida Atlantic University

Bachelor of Science, Chemistry

Bachelor of Science
1992 - 1996

Work History

A

Austin Scientific Consulting Group

Chemistry Research Analyst

Austin
2003 - Present
F

Frost Institute For Chemistry And Molecular Science

Graduate Research Assistant

Coral Gables
2000 - 2002