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Y
Yamin W.

Yamin W.

LLM Evaluation and Text Generation Specialist in Thai and English.

Thailand flagN/A, Thailand

Key Skills

Software

RemotasksRemotasks
Scale AIScale AI
Don't disclose

Top Subject Matter

LLM evaluation
AI safety review
RLHF feedback

Top Data Types

AudioAudio
DocumentDocument
TextText
VideoVideo

Top Task Types

Audio RecordingAudio Recording
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Question AnsweringQuestion Answering
RLHFRLHF
Translation/LocalizationTranslation/Localization
Data CollectionData Collection

Freelancer Overview

AI QA/QC Reviewer & Contributor (Freelance/Contract) — AI quality assurance, safety review, and RLHF-style feedback. Professional background includes roles such as Travel Coordinator. Core strengths include Don't disclose. Education includes Master of Business Administration, National Pingtung University and Bachelor’s Degree, Rajamangala University of Technology Thanyaburi (RMUTT). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Scale AI

QC

Scale AIScale AITextTextText SummarizationText SummarizationRLHFRLHF

Safety/Audio prompt/transcript/translation/suggested prompts

2024

AI QA/QC Reviewer & Contributor — Dataset annotation and labeling for model training

Don't discloseTextTextData CollectionData Collection

Carried out AI annotation and data labeling tasks by categorizing and tagging datasets to support supervised machine learning model training. Produced labeled datasets aligned to project requirements and quality expectations. Applied evaluation rubrics to help ensure consistent labeling and scoring across annotation outputs. • Labeled and tagged dataset items for supervised training. • Categorized examples according to predefined taxonomy/criteria. • Supported training dataset quality through rubric-driven checks. • Helped identify inconsistencies and areas needing improvement in labeled outputs.

2023 - Present

AI QA/QC Reviewer & Contributor — Localization/translation and Thai language dataset support

Don't discloseTextText

Performed localization and translation of video game content for Thai-speaking audiences, ensuring cultural and contextual accuracy. Applied linguistic expertise to Thai language-based AI projects for training, evaluation, and localization. Produced language-adapted content suitable for dataset creation and evaluation pipelines. • Translated and localized in-game content with cultural consistency. • Supported Thai language model training and evaluation with linguistic input. • Adapted content to match target audience context and terminology. • Ensured quality for localization-related deliverables and reviews.

2023 - Present

AI QA/QC Reviewer & Contributor — Prompt engineering and chat dialogue evaluation for AI training

Don't discloseTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Designed and responded to prompt engineering tasks by crafting prompts aimed at eliciting accurate, relevant, and high-quality responses. Contributed to chat AI development by simulating realistic human conversations and evaluating dialogue quality. Supported supervised training-like preparation by producing prompt/response style artifacts used for iterative improvements. • Wrote prompts to improve response accuracy and relevance. • Simulated human dialogue to test tone, context, and naturalness. • Evaluated conversational quality against rubrics. • Iterated prompt strategies based on evaluation findings.

2023 - Present

AI QA/QC Reviewer & Contributor — Side-by-Side model evaluations and rubric-based rating

Don't discloseTextText

Conducted side-by-side (SxS) model evaluations by comparing AI model responses against predefined quality benchmarks. Ranked and scored outputs using structured evaluation rubrics to maintain consistent quality judgments across projects. Identified weaknesses, inconsistencies, and improvement opportunities in LLM performance using defined quality metrics. • Compared response quality in SxS evaluations and applied benchmark criteria. • Developed and applied evaluation rubrics and scoring frameworks. • Assessed outputs for coherence, helpfulness, and contextual quality. • Reported recurring issues to support iterative model improvement.

2023 - Present

Education

S

Study Abroad

Study Abroad Coursework, International Business Administration

Study Abroad Coursework
2020 - 2020
R

Rajamangala University of Technology Thanyaburi

Bachelor of Arts, International Business Administration

Bachelor of Arts
2016 - 2020

Work History

E

EPRI

Travel Coordinator

Cape Town
2023 - 2023
K

King Power

HR Recruit Intern

Samut Prakan
2021 - 2021