Erwin Bachtiar

Key Skills

Software

Appen

Data Annotation Tech

Labelbox

Telus

Top Subject Matter

Reinforcement Learning from Human Feedback

Cultural Localization & Linguistic Data Training

AI Model Ranking & Alignment

Top Data Types

Text

Audio

Image

Top Task Types

RLHF

Freelancer Overview

Data Annotator & AI Content Trainer (Freelance). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Data Annotation and Appen. Education includes Master of Islamic Studies, State Islamic University (UIN) Sunan Ampel Surabaya (2017) and Bachelor of Dakwah Management, STID Al Hadid Surabaya (2015). AI-training focus includes data types such as Text and labeling workflows including RLHF and Model Alignment, Cultural Localization, Search Relevance Evaluation, Linguistic Data Training, and Fact-Verification.

Labeling Experience

Data Annotator & AI Content Trainer (Freelance)

AppenTextRLHF

As a freelance Data Annotator and AI Content Trainer, I perform RLHF-based ranking and evaluation of AI-generated responses in Indonesian. I conduct fact-checking and linguistic quality assurance for text datasets to ensure model outputs are accurate and culturally sensitive. I use annotation tools provided by Appen and Crowgen to evaluate, annotate, and provide feedback on natural language content. • Rank responses for truthfulness, helpfulness, and harmlessness. • Fact-check and provide detailed justifications for model preference. • Conduct quality assurance and linguistic analysis for Indonesian language datasets. • Specialize in ethical and cultural sensitivity in AI output evaluation.

As a freelance Data Annotator and AI Content Trainer, I perform RLHF-based ranking and evaluation of AI-generated responses in Indonesian. I conduct fact-checking and linguistic quality assurance for text datasets to ensure model outputs are accurate and culturally sensitive. I use annotation tools provided by Appen and Crowgen to evaluate, annotate, and provide feedback on natural language content. • Rank responses for truthfulness, helpfulness, and harmlessness. • Fact-check and provide detailed justifications for model preference. • Conduct quality assurance and linguistic analysis for Indonesian language datasets. • Specialize in ethical and cultural sensitivity in AI output evaluation.

2025 - Present

Education

Work History