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Kathrina M. — Mid-Level AI Training Specialist from Philippines

Kathrina M.

Mid-Level AI Training Specialist

Philippines 2-3 years
Open to offersNew to Platform
Languages
EnglishTagalog
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About

Kathrina Mae S. is an experienced AI Training Specialist and Registered Nurse with a track record in healthcare, AI data operations, and online retail. Her background includes roles as a clinic, NICU, and in-patient nurse in hospitals such as Baguio General Hospital and Notre Dame de Chartres Hospital, and as a marketing manager in clinical settings. In the AI and crowdsourcing domain, she has completed data collection, annotation, classification, and model evaluation tasks across various platforms, annotating over 50,000 data points with 98% accuracy to support the development and refinement of advanced AI systems. Additionally, Kathrina Mae S. has managed social media marketing and brand identity for niche online retail, leveraging tools like Canva and Photoshop to design collateral and visuals. She holds a Bachelor of Science in Nursing from the University of the Cordilleras and is a licensed nurse in the Philippines.

Experience

  • Clinic Nurse & Marketing Manager

    Family Polyclinic and Laboratory Inc. · 2017 — 2018
    Served as a clinic nurse while managing marketing initiatives for the organization. Developed and maintained a brand identity for niche products such as kids' clothing and souvenirs, and created marketing materials and packaging visuals utilizing Canva and Photoshop. Conducted comprehensive social media marketing and oversaw multi-platform sales operations.
  • Private Duty Nurse

    Independent Contractor · 2016 — 2017
    Provided personalized nursing care as an independent contractor.
  • NICU Nurse

    Baguio General Hospital and Medical Center · 2012 — 2016
    Delivered specialized care in the Neonatal Intensive Care Unit.
  • In-Patient Nurse

    Notre Dame de Chartres Hospital · 2011 — 2012
    Cared for in-patient clients, ensuring their healthcare needs were met.
  • Freelance AI Training Specialist / Data Annotator

    Various Institutions
    Performed various micro-tasks across crowdsourcing platforms, focusing on data collection, annotation, classification, and evaluation tasks necessitating human judgment to train AI systems. Achieved a consistent accuracy rate of 98% while annotating and labeling over 50,000 data points/images in compliance with stringent quality standards.

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