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Rizal Abdul Kholiq

Rizal Abdul Kholiq

Expert in Data Labeling and AI Evaluation: Indonesian, Sundanese & English.

Indonesia flagTasikmalaya, Indonesia
$2.00/hrIntermediateAppenGoogle Cloud Vertex AIOneforma

Key Skills

Software

AppenAppen
Google Cloud Vertex AIGoogle Cloud Vertex AI
OneFormaOneForma
TolokaToloka
Other

Top Subject Matter

Development and Testing of Large Language Models (LLMs)
Transcription of Indonesian Regional Languages
Data Labeling for Artificial Intelligence Projects

Top Data Types

AudioAudio
ImageImage
TextText

Top Task Types

Audio Recording
Data Collection
Evaluation Rating
Prompt Response Writing SFT
Segmentation

Freelancer Overview

I have extensive expertise in data labeling and AI Training Data, with experience in transcription, voice recording, and data processing for AI projects. I have worked with leading platforms such as Welocalize, Telus, Populli, and OneForma, where I was involved in data processing for AI model training and testing large language models (LLM). My experience includes developing AI Training Data with a focus on transcription accuracy and data labeling, as well as a deep understanding of the needs for AI/ML-based projects. I am accustomed to working with complex data and ensuring precise results, making meaningful contributions to the development of better and more relevant AI models for various industries.

IntermediateEnglishJapaneseJavaneseSundaneseIndonesian

Labeling Experience

Caption Refinement Project for Video Content

OtherVideoEmotion RecognitionObject Detection
This project focused on improving captioning accuracy for video content, aimed at enhancing the understanding of model multimodal outputs. It involved data labeling and annotation tasks, including text summarization, object and action recognition, and emotion recognition. We employed techniques such as identifying errors related to relative position, trajectory, and celebrity recognition. Our goal was to ensure captions accurately reflected video content, focusing on spatial relationships, logical reasoning, and textual analysis to produce coherent and engaging content summaries. The project emphasized correcting grammar errors, handling subtitled inconsistencies, and ensuring captions adhered to the content's primary focus while maintaining consistency in theme and context.

This project focused on improving captioning accuracy for video content, aimed at enhancing the understanding of model multimodal outputs. It involved data labeling and annotation tasks, including text summarization, object and action recognition, and emotion recognition. We employed techniques such as identifying errors related to relative position, trajectory, and celebrity recognition. Our goal was to ensure captions accurately reflected video content, focusing on spatial relationships, logical reasoning, and textual analysis to produce coherent and engaging content summaries. The project emphasized correcting grammar errors, handling subtitled inconsistencies, and ensuring captions adhered to the content's primary focus while maintaining consistency in theme and context.

2024
Appen

Language Data Specialist - Large Language Model (LLM) Project

AppenTextTranslation LocalizationEvaluation Rating
Contributed to the development and testing of a Large Language Model (LLM) through the Fireweed Project with Crowdgeen by Appen. This role involved analyzing and annotating language data to train the model, providing feedback to enhance its accuracy and relevance, and supporting the evaluation process with a focus on data quality. By utilizing skills in transcription, data labeling, and language comprehension, I played a key role in advancing AI technology powered by LLM.

Contributed to the development and testing of a Large Language Model (LLM) through the Fireweed Project with Crowdgeen by Appen. This role involved analyzing and annotating language data to train the model, providing feedback to enhance its accuracy and relevance, and supporting the evaluation process with a focus on data quality. By utilizing skills in transcription, data labeling, and language comprehension, I played a key role in advancing AI technology powered by LLM.

2024 - 2024

voice recorder and annotator for AI creation

OtherAudioPoint Key PointSegmentation
Responsible for recording high-quality audio and providing accurate annotations for artificial intelligence (AI) development. Tasks include recording, transcribing, and labeling audio data to help AI understand context and emotions in conversations.

Responsible for recording high-quality audio and providing accurate annotations for artificial intelligence (AI) development. Tasks include recording, transcribing, and labeling audio data to help AI understand context and emotions in conversations.

2024 - 2024
Google Cloud Vertex AI

Sundanese language transcriber

Google Cloud Vertex AIAudioSegmentationClassification
In my role as a transcriber, I am responsible for transcribing audio recordings in Sundanese into clear and detailed text. I carefully listen to each recording, ensuring that every word, tone, and emphasis is accurately captured. Additionally, I create annotations to note important elements such as emotions, pauses, and changes in intonation during conversations, so that the resulting transcription is not only accurate but also rich in context needed for better understanding.

In my role as a transcriber, I am responsible for transcribing audio recordings in Sundanese into clear and detailed text. I carefully listen to each recording, ensuring that every word, tone, and emphasis is accurately captured. Additionally, I create annotations to note important elements such as emotions, pauses, and changes in intonation during conversations, so that the resulting transcription is not only accurate but also rich in context needed for better understanding.

2023 - 2023
Google Cloud Vertex AI

Indonesian language transcriber

Google Cloud Vertex AIAudioSegmentationClassification
As a transcriber, I transcribe Indonesian audio recordings into clear text. I listen carefully to ensure every word, tone, and emphasis is captured accurately. I also annotate emotions, pauses, and intonation changes, providing rich context for better understanding.

As a transcriber, I transcribe Indonesian audio recordings into clear text. I listen carefully to ensure every word, tone, and emphasis is captured accurately. I also annotate emotions, pauses, and intonation changes, providing rich context for better understanding.

2023 - 2023

Education

U

Universitas Islam KH. Ruhiat Cipasung

Bachelor of Law (S.H.), Islamic Family Law

Bachelor of Law (S.H.)
2019 - 2023

Work History

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