Fajar Ali Ramadhan

Key Skills

Software

Appen

OneForma

Remotasks

Toloka

Telus

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Action Recognition

Bounding Box

Polygon

Segmentation

Freelancer Overview

I have been working in data labeling and AI training data projects since 2020. I started with annotation and segmentation tasks on Remotasks until 2022, where I developed strong attention to detail, consistency, and the ability to follow complex guidelines to support computer vision models. This experience sharpened my ability to adapt quickly to new tools and workflows while maintaining high-quality outputs that directly impact AI performance. Since 2022, I have been focusing on Indonesian language transcription projects with Appen. Through this, I strengthened my skills in natural language processing (NLP) tasks, particularly in accurate transcription, contextual understanding, and maintaining proper linguistic standards. My combined background in both visual annotation and language transcription makes me versatile and well-prepared to contribute to diverse AI training data projects across text and image domains.

Labeling Experience

Indonesia Audio Transcription

AppenAudioText GenerationText Summarization

On Appen, I worked on Indonesian language transcription projects that focused on converting spoken audio into accurate written text to support natural language processing tasks. The scope included listening carefully to audio recordings, transcribing speech with correct spelling and grammar, handling variations in accents and dialects, and applying project-specific guidelines such as marking pauses, fillers, or background noise when required. These projects trained me to pay close attention to detail, maintain linguistic accuracy, and deliver consistent, high-quality transcriptions that could be used to improve speech recognition systems and other AI applications.

On Appen, I worked on Indonesian language transcription projects that focused on converting spoken audio into accurate written text to support natural language processing tasks. The scope included listening carefully to audio recordings, transcribing speech with correct spelling and grammar, handling variations in accents and dialects, and applying project-specific guidelines such as marking pauses, fillers, or background noise when required. These projects trained me to pay close attention to detail, maintain linguistic accuracy, and deliver consistent, high-quality transcriptions that could be used to improve speech recognition systems and other AI applications.

2022

Autonomous Vehicles Annotation, 3D Annotation and Segmentation

Scale AIImagePolygonSegmentation

On Remotasks, I worked on annotation and segmentation projects that involved labeling objects within images, drawing bounding boxes, and performing detailed pixel-level segmentation to train computer vision models. The tasks required following strict guidelines, ensuring accuracy and consistency, and sometimes reviewing or correcting outputs to meet quality standards. These projects ranged from autonomous driving datasets—where precise identification of road elements, vehicles, and pedestrians was crucial—to general object recognition, giving me strong experience in producing high-quality training data for AI development.

On Remotasks, I worked on annotation and segmentation projects that involved labeling objects within images, drawing bounding boxes, and performing detailed pixel-level segmentation to train computer vision models. The tasks required following strict guidelines, ensuring accuracy and consistency, and sometimes reviewing or correcting outputs to meet quality standards. These projects ranged from autonomous driving datasets—where precise identification of road elements, vehicles, and pedestrians was crucial—to general object recognition, giving me strong experience in producing high-quality training data for AI development.

2020

Education

Work History