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H

Hazel Pernanda

Freelance Data Annotation

INDONESIA flag
Sukabumi, Indonesia
$12.00/hrEntry LevelCVATRoboflow

Key Skills

Software

CVATCVAT
RoboflowRoboflow

Top Subject Matter

Computer Vision
Video Analytics
Legal Services & Contract Review

Top Data Types

VideoVideo
ImageImage

Top Task Types

Segmentation
Bounding Box
Classification
Object Detection

Freelancer Overview

I have hands-on experience in AI training data and data annotation, particularly in image and video-based tasks. My work includes bounding box annotation, segmentation, and video event labeling, where I consistently ensure high accuracy and adherence to detailed project guidelines. I have also performed quality assurance from a user perspective, reviewing annotated outputs to maintain consistency and minimize errors across datasets. What sets me apart is my technical background in computer vision, where I have worked with models such as YOLO and EfficientNet. This allows me to understand not only how to label data, but also how annotation quality directly impacts model performance. I am detail-oriented, reliable, and comfortable working in remote, fast-paced environments, with a strong focus on delivering precise and scalable training data.

Entry LevelEnglish

Labeling Experience

Freelance Data Annotation

VideoSegmentation
As a freelance data annotator, I performed frame-level video segmentation and timestamp annotation as part of machine learning dataset creation. My responsibilities focused on ensuring high labeling accuracy and following structured guidelines for supervised learning support. I also contributed actively to dataset quality control processes alongside annotation work. • Frame-level segmentation for training video-based models • Timestamp annotation to support temporal feature extraction • Consistency assurance through designated labeling protocols • Participation in dataset quality review cycles

As a freelance data annotator, I performed frame-level video segmentation and timestamp annotation as part of machine learning dataset creation. My responsibilities focused on ensuring high labeling accuracy and following structured guidelines for supervised learning support. I also contributed actively to dataset quality control processes alongside annotation work. • Frame-level segmentation for training video-based models • Timestamp annotation to support temporal feature extraction • Consistency assurance through designated labeling protocols • Participation in dataset quality review cycles

Not specified

Education

U

Universitas Padjadjaran

Bachelor of Science, Mathematics

Bachelor of Science
2020 - 2026

Work History

F

Freelance

Website Quality Assurance Specialist

Sukabumi
2023 - 2023