Yifei J.

Key Skills

Software

No software listed

Top Subject Matter

Hospitality design

Ff&e Domain Expertise

Architecture Domain Expertise

Top Data Types

Document

Image

Text

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Entity (NER) Classification

Point/Key Point

Polyline

Cuboid

Object Detection

Text Generation

Question Answering

Text Summarization

RLHF

Fine-tuning

Red Teaming

Transcription

Evaluation/Rating

Computer Programming/Coding

Data Collection

Prompt + Response Writing (SFT)

Function Calling

Freelancer Overview

AI Data Trainer / Workflow Automation Specialist. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and ComfyUI. Education includes Master of Architecture, University of California, Los Angeles (2024) and Bachelor of Engineering, South China University of Technology (2017). AI-training focus includes data types such as Document and Image and labeling workflows including Extraction, Evaluation, and Rating.

Labeling Experience

AI Image QA and Prompt Evaluation

Image

I led a prompt and image QA workflow using ComfyUI to generate and assess stock-safe images for design applications. Images were evaluated for realism, artifact presence, composition, category fit, and metadata accuracy. This work ensured the viability of visuals in AI-powered design tools and datasets. • Applied structured rubrics and detailed visual review protocols. • Flagged inconsistencies and labeled image attributes for refinement. • Performed cross-referencing with reference images and interior design standards. • Used bilingual context review to support English/Mandarin quality assurance.

2024 - Present

AI Data Trainer / Workflow Automation Specialist

Document

In this role, I converted hotel brand specification PDFs and XLS files into structured datasets for FF&E and vendor quoting. I built workflows that included OCR, schema normalization, QA checks, and prompt rule creation to automate repetitive specification extraction. Hospitality design outputs were reviewed against strict brand standards including finish tags, furniture specifications, and ADA-compliance requirements. • Developed reusable AI workflows for rapid document-to-dataset transformation. • Applied quality assurance techniques to ensure extracted data accuracy and completeness. • Cross-checked data with original specifications and industry standards. • Coordinated annotation and validation in both English and Mandarin contexts.

2024 - Present

Education

Work History