Cecilia Alcantara

Key Skills

Software

Appen

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Evaluation Rating

Freelancer Overview

I am a detail-oriented data annotation and search quality specialist with hands-on experience evaluating online content to enhance search engine relevance and user satisfaction. My background includes classifying query intent, assessing the credibility and accuracy of digital information, and consistently applying guidelines to ensure high-quality training data for AI and search algorithms. I am skilled in using search evaluation platforms, browser-based assessment tools, and data annotation systems, and I excel at documenting structured decisions to support data integrity. Through projects such as evaluator alignment sessions and large-scale webpage quality reviews, I have developed strong analytical, communication, and workflow optimization skills that contribute to precise and reliable data labeling for NLP and search relevance domains.

Labeling Experience

AI Trainer / LLM Quality & Safety Evaluator

AppenImageEvaluation Rating

As an AI Trainer and LLM Quality & Safety Evaluator, I designed and refined prompts for large language models. I evaluated AI-generated responses for factual accuracy, logical consistency, tone, and safety using rubrics. I conducted adversarial testing and provided structured feedback to improve model reliability. • Developed and iteratively improved prompt sets for LLMs • Evaluated responses for logic, coherence, bias, and safety • Delivered structured, evidence-based feedback on model behavior • Performed adversarial and red teaming tests to expose model vulnerabilities

As an AI Trainer and LLM Quality & Safety Evaluator, I designed and refined prompts for large language models. I evaluated AI-generated responses for factual accuracy, logical consistency, tone, and safety using rubrics. I conducted adversarial testing and provided structured feedback to improve model reliability. • Developed and iteratively improved prompt sets for LLMs • Evaluated responses for logic, coherence, bias, and safety • Delivered structured, evidence-based feedback on model behavior • Performed adversarial and red teaming tests to expose model vulnerabilities

2021

AI Data Annotator & Content Reviewer

CVATTextEvaluation Rating

As an AI Data Annotator & Content Reviewer, I annotated and reviewed AI-generated content for accuracy, clarity, and compliance. I performed side-by-side comparison and ranking of multiple model outputs for identical prompts. I documented recurring model failure patterns to advance system improvement. • Annotated AI-generated outputs for correctness and guideline adherence • Compared and ranked model responses for quality and safety • Recorded model performance patterns and issues • Supported iterative system enhancement through feedback documentation

As an AI Data Annotator & Content Reviewer, I annotated and reviewed AI-generated content for accuracy, clarity, and compliance. I performed side-by-side comparison and ranking of multiple model outputs for identical prompts. I documented recurring model failure patterns to advance system improvement. • Annotated AI-generated outputs for correctness and guideline adherence • Compared and ranked model responses for quality and safety • Recorded model performance patterns and issues • Supported iterative system enhancement through feedback documentation

2022 - 2025

Education

Work History