Lovely Cris Cagas

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Question Answering

Text Generation

Data Collection

Transcription

Freelancer Overview

I have hands-on experience in data labeling and AI training tasks, contributing to the development and improvement of machine learning models through accurate and consistent annotation. My work includes labeling text, images, and datasets according to strict guidelines, ensuring high-quality outputs that support model training, validation, and performance optimization. I am detail-oriented and able to follow complex instructions while maintaining accuracy, consistency, and efficiency across large volumes of data. What sets me apart is my strong attention to detail, adaptability to different annotation tools and workflows, and commitment to data quality. I am skilled at identifying edge cases, correcting inconsistencies, and meeting productivity targets without compromising accuracy. With strong time-management skills and the ability to work independently or as part of a remote team, I consistently deliver reliable results that contribute to building trustworthy and effective AI systems.

Labeling Experience

Data Annotation & AI Training – Appen Project

AppenTextQuestion AnsweringText Generation

Performed data labeling and annotation tasks for AI training projects through the Appen platform. Responsibilities included classifying and evaluating text data based on project guidelines, ensuring accuracy and consistency, and meeting quality standards. Followed detailed instructions, met task deadlines, and maintained data confidentiality while contributing to the improvement of machine learning models.

Performed data labeling and annotation tasks for AI training projects through the Appen platform. Responsibilities included classifying and evaluating text data based on project guidelines, ensuring accuracy and consistency, and meeting quality standards. Followed detailed instructions, met task deadlines, and maintained data confidentiality while contributing to the improvement of machine learning models.

2025 - 2025

Education

Work History