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Vina Tiasari

Vina Tiasari

Prompt Engineer | Translation | LLM Evaluation & Text Generation Specialist

Indonesia flagSukoharjo, Indonesia
$7.00/hrEntry LevelCVATData Annotation TechGoogle Cloud Vertex AI

Key Skills

Software

CVATCVAT
Data Annotation TechData Annotation Tech
Google Cloud Vertex AIGoogle Cloud Vertex AI
LabelImgLabelImg
RemotasksRemotasks
Scale AIScale AI
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

DocumentDocument
ImageImage
TextText

Top Task Types

Data Collection
Prompt Response Writing SFT
Text Generation
Translation Localization

Freelancer Overview

Highly motivated professional with expertise in data annotation, data labeling, and prompt engineering. Experienced in preparing, validating, and managing text, image, and video datasets to train AI/ML models. Skilled in optimizing prompts to improve AI performance and reviewing AI outputs for accuracy and consistency.

Entry LevelKoreanEnglishJavaneseIndonesian

Labeling Experience

AI Data Annotator

Internal Proprietary ToolingVideoEntity Ner Classification
The main objective of this task is maintain the robots to place silverware in their correct slots in a tray, one piece at a time. I also need to select the actions, spots any mistakes in video, and give an overall rating based on the provided policy

The main objective of this task is maintain the robots to place silverware in their correct slots in a tray, one piece at a time. I also need to select the actions, spots any mistakes in video, and give an overall rating based on the provided policy

2025
Data Annotation Tech

Prompt Evaluating & Rating

Data Annotation TechTextQuestion Answering
Creating high-quality prompt–response pairs, evaluating and ranking model outputs, performing red-teaming and safety reviews to ensure responsible behavior, adjusting tone and register according to context, and documenting concise rationales to explain judgments. In short, the role focuses on improving the model’s quality, naturalness, and safety for diverse real-world use cases

Creating high-quality prompt–response pairs, evaluating and ranking model outputs, performing red-teaming and safety reviews to ensure responsible behavior, adjusting tone and register according to context, and documenting concise rationales to explain judgments. In short, the role focuses on improving the model’s quality, naturalness, and safety for diverse real-world use cases

2025 - 2025

Education

S

Sebelas Maret University

Bachelor of Education, Office Administration Education

Bachelor of Education
Not specified

Work History

K

Kitabisa

Operations, Trust & Safety (Disbursement Staff)

Yogyakarta
2024 - 2025
B

Bitoven Promoter

Social Media Specialist

N/A
2024 - 2024