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Computer Engineering student and AI Data Annotator with hands-on experience evaluating Large Language Model (LLM) and Generative AI outputs. Skilled in comparing responses, verifying prompt constraints, enforcing safety/policy rules, and detecting cybersecurity and PII risks to improve dataset quality. Experienced in search relevance and intent analysis, including geographical and temporal freshness checks, and providing clear, structured English justifications for ratings. Also supports localization work, translating English content into natural Tagalog while maintaining conversation flow and accuracy.…Computer Engineering student and AI Data Annotator with hands-on experience evaluating Large Language Model (LLM) and Generative AI outputs. Skilled in comparing responses, verifying prompt constraints, enforcing safety/policy rules, and detecting cybersecurity and PII risks to improve dataset quality. Experienced in search relevance and intent analysis, including geographical and temporal freshness checks, and providing clear, structured English justifications for ratings. Also supports localization work, translating English content into natural Tagalog while maintaining conversation flow and accuracy.

MARC LORRENZ C. VIRAY

Data Annotator, Data Collector, AI Evaluator, +2

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Computer Engineering student and AI Data Annotator with hands-on experience evaluating Large Language Model (LLM) and Generative AI outputs. Skilled in comparing responses, verifying prompt constraints, enforcing safety/policy rules, and detecting cybersecurity and PII risks to improve dataset quality. Experienced in search relevance and intent analysis, including geographical and temporal freshness checks, and providing clear, structured English justifications for ratings. Also supports localization work, translating English content into natural Tagalog while maintaining conversation flow and accuracy.…Computer Engineering student and AI Data Annotator with hands-on experience evaluating Large Language Model (LLM) and Generative AI outputs. Skilled in comparing responses, verifying prompt constraints, enforcing safety/policy rules, and detecting cybersecurity and PII risks to improve dataset quality. Experienced in search relevance and intent analysis, including geographical and temporal freshness checks, and providing clear, structured English justifications for ratings. Also supports localization work, translating English content into natural Tagalog while maintaining conversation flow and accuracy.

Available to hire

Computer Engineering student and AI Data Annotator with hands-on experience evaluating Large Language Model (LLM) and Generative AI outputs. Skilled in comparing responses, verifying prompt constraints, enforcing safety/policy rules, and detecting cybersecurity and PII risks to improve dataset quality.

Experienced in search relevance and intent analysis, including geographical and temporal freshness checks, and providing clear, structured English justifications for ratings. Also supports localization work, translating English content into natural Tagalog while maintaining conversation flow and accuracy.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Language

English

Advanced

Tagalog

Fluent

Work Experience

AI Data Annotator - Intermediate at TELUS Digital / TELUS International

January 1, 2026 - Present

Evaluated and rated AI-generated text, image, and chatbot responses using detailed criteria such as user intent matching, factual correctness, and instruction-following constraints. Performed safety and policy moderation by identifying hazardous instructions, cyber safety violations, and personally identifiable information (PII) risks to ensure compliance with AI safety guidelines. Verified model adherence to strict prompt requirements including length limits, formatting (tables/lists), and tone rules. Authored clear, objective English justifications for error categories and rating decisions. Rated search queries/results based on geographical intent, temporal freshness, and overall user query satisfaction while maintaining quality standards and efficient turnaround.