Mark Cronielle Ditan

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

I am an experienced electronics engineer with a strong background in data annotation, data labeling, and system validation for AI and machine learning applications. My hands-on experience includes tagging and labeling text and image data to train and improve AI models, with a focus on ensuring data accuracy and consistency for high-quality outcomes. I am skilled in data classification, manual annotation, entity recognition, and error analysis, and have proficiency in C++, Python, System Verilog, and Linux. My technical expertise is complemented by a keen eye for detail and a commitment to optimizing processes, as demonstrated in my work validating complex mixed-signal systems and contributing to projects like adaptive traffic light systems. I am eager to leverage my analytical skills and adaptability to support the development of robust AI solutions through precise and reliable training data.

Labeling Experience

AI Training Content Reviewer

Scale AITextClassification

In this role, I labeled and annotated large datasets to train AI models, specifically in natural language processing. I reviewed and ensured the grammatical accuracy and contextual relevance of AI-generated content. My work contributed to improving AI system performance and maintaining high data integrity and model reliability. • Labeled and classified text data for machine learning models • Performed rigorous QA on annotated data and corrected errors • Collaborated with teams to enhance dataset quality and model outcomes • Applied expertise in English to refine and validate training materials

In this role, I labeled and annotated large datasets to train AI models, specifically in natural language processing. I reviewed and ensured the grammatical accuracy and contextual relevance of AI-generated content. My work contributed to improving AI system performance and maintaining high data integrity and model reliability. • Labeled and classified text data for machine learning models • Performed rigorous QA on annotated data and corrected errors • Collaborated with teams to enhance dataset quality and model outcomes • Applied expertise in English to refine and validate training materials

2024 - 2025

Education

Work History