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Karime Trejo Pérez

Karime Trejo Pérez

Bilingual ES/EN Data Labeling & QA Specialist | Electronics Eng. Background

Mexico flagMexico City, Mexico
$15.00/hrEntry LevelData Annotation TechToloka

Key Skills

Software

Data Annotation TechData Annotation Tech
TolokaToloka

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
DocumentDocument
TextText

Top Task Types

Evaluation Rating
Prompt Response Writing SFT
Translation Localization

Freelancer Overview

I have hands-on experience in evaluating AI responses to specific prompts in both English and Spanish, assessing their effectiveness, coherence, and accuracy. I have also performed fact-checking on AI-generated outputs, ensuring that responses align with reliable sources and meet quality standards. My bilingual proficiency (ES/EN) allows me to work seamlessly across languages, while my background in Electronics Engineering and scientific training strengthens my analytical skills, research ability, and attention to detail when reviewing data or validating content. This combination of linguistic expertise and technical rigor enables me to deliver high-quality evaluations and consistent QA in AI training projects.

Entry LevelFrenchGermanEnglishSpanish

Labeling Experience

Data Annotation Tech

Evaluation of AI responses to specific prompts

Data Annotation TechTextEvaluation RatingPrompt Response Writing SFT
Evaluated approximately 50 AI-generated responses in both Spanish and English, focusing on prompt adherence and overall answer quality. Tasks included assessing effectiveness, performing fact-checking, and classifying outputs as correct or incorrect. Quality measures emphasized relevance, coherence with explicit and implicit instructions, and clarity of responses. Ensured consistent labeling standards to support reliable training data for AI systems.

Evaluated approximately 50 AI-generated responses in both Spanish and English, focusing on prompt adherence and overall answer quality. Tasks included assessing effectiveness, performing fact-checking, and classifying outputs as correct or incorrect. Quality measures emphasized relevance, coherence with explicit and implicit instructions, and clarity of responses. Ensured consistent labeling standards to support reliable training data for AI systems.

2025 - 2025

Education

C

Colegio Suizo de México

International Baccalaureate Diploma, General Studies

International Baccalaureate Diploma
2019 - 2021
T

Tecnológico de Monterrey

Bachelor of Science, Electronics Engineering

Bachelor of Science
2022

Work History

M

Minsait

Business Consulting Intern

Mexico City
2024 - 2025