Wan F.

Key Skills

Software

Internal/Proprietary Tooling

Don't disclose

Other

Top Subject Matter

Human-AI interaction / RLHF human feedback dataset & evaluation

LLM output evaluation (bilingual prompt-response review)

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Evaluation/Rating

Object Detection

Data Collection

Prompt + Response Writing (SFT)

Classification

Freelancer Overview

RLHF Feedback Interface, Human Feedback Dataset & Model Validation — Master’s Thesis. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Master of Science, Southeast University (2026) and Bachelor of Science, Chongqing University (2023). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

RLHF Feedback Interface, Human Feedback Dataset & Model Validation — Master’s Thesis

OtherTextRLHF

Conducted Chinese-English LLM evaluation and AI output review tasks as part of interaction and interface research. Applied bilingual prompt-response evaluation to assess output issues and measure alignment-related quality signals. Produced structured evaluations covering hallucination, style mismatch, logic errors, redundancy, missing information, and constraint adherence. • Performed response ranking, quality scoring, and preference comparison for evaluated LLM outputs. • Wrote short rationales to justify evaluation decisions and label quality. • Reviewed Chinese and English academic or study materials relevant to evaluation protocols. • Applied evaluation categories to support model comparison and cognitive-load study conclusions.

2023 - 2026

Education

Work History