Dao R.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

LLM output evaluation

content analysis

and data quality assurance

Top Data Types

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Classification

RLHF

Entity (NER) Classification

Freelancer Overview

AI Product Testing & Prompt Engineering. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor's Degree, Yunnan University of Finance and Economics (2027). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

AI Workflow & Data Quality

Don't discloseTextEntity (NER) Classification

Reviewed and evaluated AI-generated content against predefined quality guidelines to ensure consistent labeling standards. Classified, ranked, summarized, and analyzed text data as part of content quality review. Verified annotation consistency and maintained high-quality outputs while working independently to meet productivity expectations. • Reviewed AI-generated content per quality guidelines • Performed classification, ranking, summarization, and analysis • Verified annotation consistency and quality standards • Completed tasks independently in a remote setting

2026 - Present

Prompt Engineering Practice & AI Companion Product Design (prompt strategies and dialogue quality testing)

OtherTextPrompt + Response Writing (SFT)

Created structured prompts for multiple reasoning and generation tasks, including content generation, translation, summarization, and conversational AI. Built conversation flow and prompt strategies to support multi-turn dialogue quality testing. Used systematic testing across different LLMs to improve prompt reliability and user experience. • Authored prompt sets for multiple task types • Tested multi-turn dialogue scenarios • Evaluated performance using multiple LLMs • Refined prompts iteratively to improve response quality.

2024 - Present

AI Product Testing & Prompt Engineering (LLM response evaluation and structured dataset preparation)

Don't discloseText

Conducted AI response evaluation by reviewing and scoring large volumes of text for accuracy, relevance, logical consistency, and safety. Compared outputs across multiple LLMs to identify hallucinations and reasoning errors. Performed iterative quality improvements by refining prompts based on evaluation results. • Reviewed AI-generated responses against predefined criteria • Classified, ranked, summarized, and evaluated content • Verified consistency and correctness of annotations • Performed quality assurance and followed safety/guideline requirements.

2024 - Present

AI Content Quality Reviewer - Independent

TextClassification

You supported AI workflow and data quality review by applying quality guidelines to AI-generated content. You classified, ranked, summarized, and analyzed text data while verifying annotation consistency and maintaining high standards. You worked independently with a focus on productivity and reliable review outcomes. • Reviewed AI-generated content against quality guidelines • Performed classification, ranking, summarization, and analysis • Verified consistency and ensured quality assurance • Managed independent work to meet productivity expectations

2025 - 2025

AI Product Testing and Prompt Engineering Contributor - N/A

Don't discloseTextClassificationRLHF

Served as an AI product testing and prompt engineering contributor, focusing on improving LLM output quality through systematic evaluation and iteration. Assessed responses for accuracy, relevance, logic, and safety while comparing results across multiple models to identify issues such as hallucinations. Built structured datasets to support repeatable AI evaluation and testing workflows. • Designed and optimized prompts for multiple LLMs • Evaluated AI responses for accuracy, consistency, and safety • Compared outputs across models and flagged errors • Organized structured datasets for evaluation testing

2025 - 2025

Education

Work History