Nguyen Khoa

Key Skills

Software

Clickworker

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

RLHF

Freelancer Overview

I am a detail-oriented data annotation specialist with hands-on experience labeling and categorizing complex datasets for AI training, particularly in natural language processing and multi-modal domains. My background includes optimizing large language models (LLMs) by performing high-quality data annotation, image segmentation, sentiment analysis, and audio-to-text transcription. I consistently maintain a quality score above 97% by adhering to rigorous guidelines and conducting self-audits. I am skilled in evaluating AI-generated outputs using honesty, harmlessness, and helpfulness (HHH) criteria, providing actionable feedback to engineers to reduce model hallucinations. With strong analytical thinking, pattern recognition, and proficiency in English, Vietnamese, and basic Japanese, I am eager to contribute to the development of ethical and accurate AI systems.

Labeling Experience

Data Annotation Specialist (Part-Time)

ClickworkerTextRLHF

As a Data Annotation Specialist, I labeled and categorized complex text datasets to train Large Language Models. I contributed to improving AI model response relevance by evaluating and ranking outputs based on honesty, harmlessness, and helpfulness. My work involved maintaining high quality standards and strict adherence to project guidelines. • Performed RLHF labeling for LLMs with a focus on continuous model optimization. • Maintained a quality score exceeding 97% through regular self-audits. • Evaluated AI outputs based on HHH criteria and provided feedback to engineers. • Collaborated on multi-modal projects, including sentiment analysis and text transcription.

As a Data Annotation Specialist, I labeled and categorized complex text datasets to train Large Language Models. I contributed to improving AI model response relevance by evaluating and ranking outputs based on honesty, harmlessness, and helpfulness. My work involved maintaining high quality standards and strict adherence to project guidelines. • Performed RLHF labeling for LLMs with a focus on continuous model optimization. • Maintained a quality score exceeding 97% through regular self-audits. • Evaluated AI outputs based on HHH criteria and provided feedback to engineers. • Collaborated on multi-modal projects, including sentiment analysis and text transcription.

2025 - 2025

Education

Work History