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Wang D.

Wang D.

AI Agent Data Trainer & Prompt Engineer

China flagBeijing, China

Key Skills

Software

No software listed

Top Subject Matter

AI Chatbot/LLM Ops (Emotional Support)
Financial AI/Quantitative Analysis
Legal Services & Contract Review

Top Data Types

TextText
DocumentDocument

Top Task Types

Text GenerationText Generation

Freelancer Overview

I am an AI Data Trainer and Developer with a technical background in Java, SQL, and Docker. I specialize in LLM fine-tuning, RAG (Retrieval-Augmented Generation), and complex prompt engineering. With a degree in Technical Translation (English), I bridge the gap between high-quality linguistic annotation and technical logic execution. I have extensive experience in building autonomous agents and processing large-scale financial datasets for quantitative analysis.

Labeling Experience

AI Data Labeler & Research Annotation Specialist

TextTextText GenerationText Generation

Processed unstructured financial research reports using AI-powered data flows to extract relevant entities and convert documents into actionable code instructions. Participated in designing and evaluating AI pipeline components for improved data annotation and alpha factor discovery. Facilitated data-driven logic modeling through annotated document review and iterative testing. • Oversaw document-to-code conversion and QA of annotated factors • Collaborated with quant researchers for annotation criteria refinement • Evaluated output quality and provided feedback for pipeline tuning • Utilized internal/proprietary tools for annotation and labeling tasks

2026 - 2026

AI Agent Data Trainer & Prompt Engineer

TextTextText GenerationText Generation

Designed and deployed an LLM-based intelligent consultant tailored for personalized emotional advice, involving prompt creation and iterative model fine-tuning. Integrated retrieval-augmented generation techniques and multi-turn memory to improve dialogue relevance and emotional accuracy. Evaluated AI outputs and adjusted prompt templates to improve conversational agent quality. • Developed custom prompts and task instructions for various emotional support scenarios • Conducted continuous model evaluations and feedback incorporation for agent improvement • Performed manual testing to identify failure modes and refine agent behavior • Used proprietary tooling and coding scripts for prompt iteration and tracking

2025 - 2025

Education

S

Shangluo University

Bachelor of Arts, English (Technical Translation Focus)

Bachelor of Arts
2022 - 2026

Work History

W

WorldQuant

Financial Data Analyst

Beijing
2026 - 2026
I

Independent Productor

AI Solutions Developer

Beijing
2025 - 2025