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Myks Paran

Myks Paran

AI Data Annotator & Social Media Content Specialist

PHILIPPINES flag
Cebu, Philippines
$7.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

TextText

Top Label Types

Classification
Emotion Recognition

Freelancer Overview

I have hands-on experience in AI training data and data labeling through academic and applied projects that required accuracy, consistency, and strong attention to detail. My work includes labeling text data for classification, sentiment analysis, and content moderation tasks, following strict guidelines to ensure high inter-annotator agreement. I’m comfortable reviewing large datasets, identifying edge cases, and maintaining data quality while meeting tight deadlines. What sets me apart is my strong analytical mindset, clear understanding of annotation standards, and ability to adapt quickly to new labeling frameworks and tools. With a background in health-science–related coursework and research-based tasks, I’m trained to handle sensitive data responsibly, apply critical thinking, and document decisions clearly. I work well independently and in teams, communicate feedback effectively, and consistently prioritize accuracy—qualities that directly support reliable and high-quality AI model training.

IntermediateEnglishTagalogCebuano Bisaya

Labeling Experience

Text Classification & Sentiment Annotation Project

OtherTextClassificationEmotion Recognition
Worked on annotating text data for sentiment and topic classification, including social media posts, short reviews, and user-generated content. Assigned labels such as positive, negative, neutral, and thematic categories based on detailed annotation guidelines. Ensured high data quality by reviewing ambiguous cases, maintaining consistency across datasets, and flagging unclear or low-quality samples. This project required strong attention to detail, contextual understanding, and adherence to accuracy and confidentiality standards.

Worked on annotating text data for sentiment and topic classification, including social media posts, short reviews, and user-generated content. Assigned labels such as positive, negative, neutral, and thematic categories based on detailed annotation guidelines. Ensured high data quality by reviewing ambiguous cases, maintaining consistency across datasets, and flagging unclear or low-quality samples. This project required strong attention to detail, contextual understanding, and adherence to accuracy and confidentiality standards.

2025 - 2025

Education

M

Matias H. Aznar Memorial College of Medicine, Inc.

Bachelor of Science, Medical Technology

Bachelor of Science
2025 - 2025
C

Cebu Doctors' University

Bachelor of Science, Medical Technology

Bachelor of Science
2023 - 2025

Work History

F

Freelance (Facebook Page Management)

Social Media Page Manager (Facebook)

Bohol
2022 - Present