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Yu O.

Yu O.

AI Financial Content Generator / Evaluator (Part-time/Project)

China flaghong kong, China

Key Skills

Software

Other

Top Subject Matter

Economics and Finance Question-Answer Content for AI Model Training/Evaluation
Economics and Finance Training Data (LLM Output Evaluation)

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming
ImageImage

Top Task Types

Text GenerationText Generation

Freelancer Overview

AI Financial Content Generator / Evaluator (Part-time/Project). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Economics, 嘉兴大学 (2023). AI-training focus includes data types such as Text and labeling workflows including Text Generation, Evaluation, and Rating.

Labeling Experience

Financial/Economic AI Model Evaluator and Rater

OtherTextText

The candidate regularly evaluated and checked the quality of AI agent-generated answers in finance and economics tasks, focusing on accuracy, clarity, and difficulty scaling. They reviewed AI performance by identifying errors, supplementing standard answers, and optimizing output expressions. Their efforts supported the improvement of large language models in handling finance-centric queries and instructional tasks. • Rated and corrected LLM-generated financial and economic responses. • Performed post-processing checks for answer relevance and correctness. • Provided error analysis and annotated corrections for AI outputs. • Developed feedback to enhance AI domain expertise in economics and finance.

2023 - 2024

AI Financial Content Generator / Evaluator (Part-time/Project)

OtherTextTextText GenerationText Generation

The candidate produced financial knowledge questions, explanations, answer validation, and difficulty grading for AI model training and assessment in the economics and finance domain. They utilized AI Agent tools to assist in materials curation, prompt-based task decomposition, multi-step validation, and content quality control. The workflow included creating exam questions, cases, analyses, error explanations, and training materials suitable for evaluating and improving large language models in economic finance contexts. • Created and reviewed financial domain question-answer pairs and cases. • Applied structured task workflows for AI-driven training content production. • Used AI tools to validate, grade, and refine economic and finance-related texts. • Focused on model assessment, error identification, and difficulty stratification.

2023 - 2024

Education

嘉兴大学

Bachelor of Economics, Economics

Bachelor of Economics
2019 - 2023

Work History

S

Self-Employed

Independent Trader & Community Organizer

Qujing
2019 - Present
H

Huatai Securities

Business Development & Client Operations Specialist

Jiaxing
2023 - 2024