Rustika Adz

Key Skills

Software

Mindrift

OneForma

Remotasks

SuperAnnotate

Toloka

Telus

Scale AI

Internal/Proprietary Tooling

Top Subject Matter

Media and Communications

LLM Evaluation in Indonesia

Machine Learning and AI Data Preparation

Top Data Types

Document

Image

Text

Top Task Types

Bounding Box

Classification

Evaluation Rating

Polygon

Translation Localization

Freelancer Overview

I have extensive experience in the field of large language models (LLM), particularly with the Indonesian language. My work involves evaluating and refining AI-driven text generation systems to ensure linguistic accuracy and cultural relevance. Additionally, I have served as an AI language trainer for both Indonesian and English, where I’ve played a key role in optimizing language models for various applications. Moreover, I possess significant expertise in data labeling for the Arabic language, specifically in tasks such as bounding box annotation and image processing. My experience includes annotating data to support the development of AI models capable of recognizing and understanding the context within the Arabic language. This unique blend of skills in LLM evaluation, Arabic data labeling, and AI language training for Indonesian and English distinguishes me as a versatile specialist who can make significant contributions to diverse AI projects.

Labeling Experience

AI Languange Trainer

Scale AITextEntity Ner ClassificationSegmentation

- Trained AI models by creating and refining prompts, as well as evaluating model-generated responses for accuracy, relevance, and language quality. - Provided detailed feedback to improve AI performance in natural language understanding for Indonesian. - Assessed differences between images and provided detailed labeling for AI training, improving the model’s ability to recognize variations. - Assessed differences between images and provided detailed labeling for AI training, improving the model’s ability to recognize variations.

- Trained AI models by creating and refining prompts, as well as evaluating model-generated responses for accuracy, relevance, and language quality. - Provided detailed feedback to improve AI performance in natural language understanding for Indonesian. - Assessed differences between images and provided detailed labeling for AI training, improving the model’s ability to recognize variations. - Assessed differences between images and provided detailed labeling for AI training, improving the model’s ability to recognize variations.

2023 - 2024

Data Annotation

Internal Proprietary ToolingVideoBounding BoxPolygon

Defining the scope, such as identifying and tracking specific objects, categorizing scenes, or analyzing actions and events in the video.

Defining the scope, such as identifying and tracking specific objects, categorizing scenes, or analyzing actions and events in the video.

2023 - 2023

OCR Data Annotation

Internal Proprietary ToolingImageBounding BoxPolygon

conducted text labeling and transcription, ensuring high accuracy and Reviewed and ensured quality control (QA) of all annotations.

conducted text labeling and transcription, ensuring high accuracy and Reviewed and ensured quality control (QA) of all annotations.

2023 - 2023

Education

Work History