Febriana Giatmaja

Key Skills

Software

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Medical Dicom

Top Task Types

Bounding Box

Classification

Segmentation

Text Generation

Translation/Localization

Freelancer Overview

I have hands-on experience in data labeling, particularly through Remotasks, where I worked on a variety of structured annotation projects. My tasks included image-based annotation and semantic segmentation across projects such as Io Green Floor Hazards/Dock, Sousaphone Press, elnath_semseg_vehicle, and Snowberry Suggestive. These tasks required accuracy, consistency, and the ability to follow detailed guidelines. I’m comfortable learning new domain-specific terminology, adapting to different annotation styles, and working with action lists—even in areas where I don’t have prior specialization, such as food or cooking. I’m a fast learner with strong attention to detail, making me well-suited for task-driven environments that require precision and reliability.

Labeling Experience

Snowberry Suggestive

Scale AIImageBounding BoxClassification

This project required reviewing images and classifying them based on appropriateness and policy guidelines. The task focused on identifying suggestive or sensitive content, helping improve automated content moderation systems. Accuracy in interpreting policy criteria was essential to ensure user safety and platform compliance.

This project required reviewing images and classifying them based on appropriateness and policy guidelines. The task focused on identifying suggestive or sensitive content, helping improve automated content moderation systems. Accuracy in interpreting policy criteria was essential to ensure user safety and platform compliance.

2022 - 2022

elnath_semseg_vehicle

Scale AIImageSegmentationClassification

This project involved pixel-accurate segmentation of various elements in street scenes, including vehicles, road surfaces, sidewalks, pedestrians, and environmental structures. The work contributed to training computer vision systems for autonomous vehicle perception and scene understanding, requiring high attention to detail and consistency across complex images.

This project involved pixel-accurate segmentation of various elements in street scenes, including vehicles, road surfaces, sidewalks, pedestrians, and environmental structures. The work contributed to training computer vision systems for autonomous vehicle perception and scene understanding, requiring high attention to detail and consistency across complex images.

2022 - 2022

Sousaphone Press

Scale AIImageBounding BoxClassification

This project focused on identifying specific objects or conditions within manufacturing-related images. The labeling required consistent classification according to the provided guideline, often used to support automated visual inspection systems or factory workflow monitoring.

This project focused on identifying specific objects or conditions within manufacturing-related images. The labeling required consistent classification according to the provided guideline, often used to support automated visual inspection systems or factory workflow monitoring.

2022 - 2022

Io Green Floor Hazards / Dock

Scale AIImageBounding BoxClassification

This project involved identifying and labeling potential floor hazards in warehouse and dock environments. The task required careful observation to detect risk elements such as spills, obstructions, misplaced equipment, or unsafe conditions. Precision was important for supporting computer vision models used in workplace safety monitoring.

This project involved identifying and labeling potential floor hazards in warehouse and dock environments. The task required careful observation to detect risk elements such as spills, obstructions, misplaced equipment, or unsafe conditions. Precision was important for supporting computer vision models used in workplace safety monitoring.

2022 - 2022

Text data annotations

Scale AITextBounding BoxPoint Key Point

I worked on a text data labeling project focused on medicine and ingredient-related content. My tasks included classification, bounding box labeling for text regions, text summarization, data collection, and generating short textual outputs based on predefined guidelines. I used the Remotasks platform to ensure consistent formatting, accurate annotations, and compliance with quality standards. The project required careful reading, verification of medical/ingredient terminology, and adherence to strict accuracy and review criteria.

I worked on a text data labeling project focused on medicine and ingredient-related content. My tasks included classification, bounding box labeling for text regions, text summarization, data collection, and generating short textual outputs based on predefined guidelines. I used the Remotasks platform to ensure consistent formatting, accurate annotations, and compliance with quality standards. The project required careful reading, verification of medical/ingredient terminology, and adherence to strict accuracy and review criteria.

2021 - 2021

Education

Work History