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Marcelo Sosa

Marcelo Sosa

AI Training Subject Matter Expert (Evaluation/Rating)

Argentina flagMar del Plata, Argentina
Entry LevelScale AI

Key Skills

Software

Scale AIScale AI

Top Subject Matter

AI Training
Scientific Content Evaluation

Top Data Types

TextText

Top Task Types

RLHFRLHF

Freelancer Overview

As a Ph.D. in Chemical Sciences and a researcher in Materials Science, my approach to AI data training is grounded in rigorous scientific fact-checking and technical auditing. While I am at the entry level regarding formal data labeling platforms, my professional background requires the daily, meticulous evaluation of complex datasets—such as vibrational spectroscopy (Raman and FTIR)—and the extensive peer-review of STEM literature. This has honed my ability to spot logical inconsistencies, verify factual accuracy, and structure complex information. Recently, I have begun applying these analytical skills to AI model evaluation, focusing on assessing the technical accuracy and logic of LLM outputs in bilingual contexts (English and Spanish). My deep domain expertise uniquely positions me to annotate, structure, and validate complex STEM datasets, ensuring models produce reliable, safe, and factually sound scientific content.

Entry Level

Labeling Experience

AI Training Subject Matter Expert (Evaluation/Rating)

TextRLHF
I participated in the evaluation and content review for Generative AI systems in both English and Spanish. My work included fact-checking, logical reasoning assessments, and evaluation of technical content using my scientific expertise. The goal was to improve the quality and factual accuracy of AI model outputs for specialized subject areas.• Evaluated AI-generated text for chemical and scientific accuracy • Performed RLHF tasks on technical datasets • Applied subject matter expertise for AI assessment • Supported iterative improvement of language model responses

I participated in the evaluation and content review for Generative AI systems in both English and Spanish. My work included fact-checking, logical reasoning assessments, and evaluation of technical content using my scientific expertise. The goal was to improve the quality and factual accuracy of AI model outputs for specialized subject areas.• Evaluated AI-generated text for chemical and scientific accuracy • Performed RLHF tasks on technical datasets • Applied subject matter expertise for AI assessment • Supported iterative improvement of language model responses

2026 - Present

Education

N

National University of Tucumán

Doctor of Philosophy, Chemical Sciences

Doctor of Philosophy
2013 - 2017
N

National University of Tucumán

Bachelor of Science, Chemistry

Bachelor of Science
2007 - 2011

Work History

N

National University of Mar del Plata

Teaching Assistant

Mar del Plata
2021 - Present
C

CONICET

Research Scientist

Mar del Plata
2021 - Present