Jaizel Anne T.

Key Skills

Software

Appen

Top Subject Matter

Machine learning content recognition via video annotations

Structured record organization and tracking for internal reporting

Top Data Types

Video

Top Task Types

Classification

Tracking

Entity (NER) Classification

Freelancer Overview

Part Time Video Labeler (Appen). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Bachelor of Science in Accountancy, PHINMA–Saint Jude College (2029) and N/A, Kaytitinga Integrated School (2025). AI-training focus includes data types such as Video and labeling workflows including Classification, Tracking, and Named Entity Recognition.

Labeling Experience

Student Intern, Finance Department (Kaytitinga Integrated School)

AppenVideoClassification

Assisted with preparing structured outputs that supported analytical tracking activities within the school finance department. While the role was primarily financial reporting, the organization of records and budget tracking contributed to building reliable, structured datasets for internal review and decision support. The experience emphasized accuracy, organization, and timely updates of documentation. • Assisted in preparing monthly financial reports • Organized 200+ records to improve accessibility • Supported budget tracking for school expenses • Improved retrieval efficiency by 30% through better record organization

2025 - 2025

Part Time Video Labeler

AppenVideoTrackingEntity (NER) Classification

No description provided.

2022 - 2022

Part Time Video Labeler (Appen)

AppenVideoClassification

Served as a part-time video labeler for Appen to support machine learning training for automated content recognition. The work focused on labeling and categorizing video clips to produce ground-truth annotations for model learning. Maintained high-quality annotations to help improve algorithm performance over the annotation period. • Labeled and categorized 1,000+ video clips for content recognition • Ensured consistent annotation quality to reach a 98% accuracy rate • Contributed labeled data to train machine learning models • Followed annotation instructions to support downstream ML improvements

2022 - 2022

Education

Work History