Ismalina Ismail

Key Skills

Software

Appen

Data Annotation Tech

iMerit

Labelbox

OneForma

Telus

Other

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Entity Ner Classification

Evaluation Rating

Prompt Response Writing SFT

RLHF

Translation Localization

Freelancer Overview

Proficient in text analysis, I've contributed to NLP projects for global clients. My background in digital media and hands-on experience with various AI generative tools sets me apart, enabling me to approach AI training tasks with both technical accuracy and creative insight. I’ve worked on prompt and response evaluation for large language models (LLMs) in Bahasa Malaysia, ensuring alignment with tone, clarity, and cultural relevance. My experience also includes image annotation and entity recognition tasks, with recent work focused on tagging and labelling personally identifiable information (PII) in Named Entity Recognition (NER) projects. I’m comfortable following detailed annotation guidelines, adapting to evolving workflows, and maintaining consistency across large-scale datasets—always with a commitment to data quality and ethical AI development.

Labeling Experience

Language Analyst | Bilingual Content Editor

Data Annotation TechTextQuestion AnsweringTranslation Localization

Responsibilities (both in Malay and English): Come up with diverse conversations over a range of topics Write high-quality answers when given specific prompts Compare the performance of different AI models Research and fact-check AI responses

Responsibilities (both in Malay and English): Come up with diverse conversations over a range of topics Write high-quality answers when given specific prompts Compare the performance of different AI models Research and fact-check AI responses

2025

Malay Language Lead- Generative AI

ImeritTextEntity Ner Classification

Performed advanced Named Entity Recognition (NER) and Personally Identifiable Information (PII) tagging on text data for AI/ML model training. Identifying actor associations, contextual identity details, and tagging based on strict data privacy guidelines. Supported ethical NLP development by ensuring high-quality, linguistically accurate annotations for training datasets.

Performed advanced Named Entity Recognition (NER) and Personally Identifiable Information (PII) tagging on text data for AI/ML model training. Identifying actor associations, contextual identity details, and tagging based on strict data privacy guidelines. Supported ethical NLP development by ensuring high-quality, linguistically accurate annotations for training datasets.

2025

Annotators for Response Correctness Project - English

Internal Proprietary ToolingImageQuestion AnsweringEvaluation Rating

Data Collection, Transcription, Data Annotation, AI Data, LLM Apps, AI Agents, Human-in-the-Loop, Data Quality Evaluation, Content Relevance, and LLM Fine-Tuning

Data Collection, Transcription, Data Annotation, AI Data, LLM Apps, AI Agents, Human-in-the-Loop, Data Quality Evaluation, Content Relevance, and LLM Fine-Tuning

2024

Education

Work History