Qingxiang Y.

Key Skills

Software

No software listed

Top Subject Matter

LLM evaluation and intent/chart-related data annotation for enterprise analytics agents

Financial domain data labeling and LLM evaluation for a multi-agent investment assistant

Top Data Types

Text

Top Task Types

Question Answering

Freelancer Overview

AI Data Annotation / LLM Evaluation Intern | Shushi Technology (Beijing) | Project: ChartAgent – Data Analytics Platform. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, University of Electronic Science and Technology of China (2028) and Bachelor of Engineering, Xihua University (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Question Answering.

Labeling Experience

AI Data Annotation / LLM Evaluation Intern, Shushi Technology (Beijing) — Project: ChartAgent (Data Analytics Platform Agent)

Text

Worked as an AI data annotation and LLM evaluation intern for an enterprise analytics agent, focusing on multi-turn dialogue and task-oriented chart generation. Performed intent annotation, chart-type matching, query rewriting evaluation, and fallback/error categorization to improve downstream model behavior and consistency. Conducted data QA and error analysis, supporting model optimization and cross-scenario failure investigation with product and algorithm teams. • Annotated multi-turn dialogues and user intents for a chart-generation workflow • Applied labeling guidelines for intent classification, chart-type matching, and fallback/error handling • Built lightweight Python-based data cleaning, sampling, and issue-tracking workflows • Coordinated evaluation of model outputs across scenarios and incorporated feedback into iteration

2025 - 2026

AI Data Labeling / LLM Evaluation Intern, Hongtai Securities FinTech Co., Ltd. — Project: Stock Investment Advisor Agent System

TextQuestion Answering

Worked as an AI data labeling and LLM data quality intern for a multi-agent stock investment assistant system, annotating financial Q&A and tool-use related content. Defined labeling schemas and categories for stock analysis, risk explanations, news interpretation, and user-intent routing to enable downstream evaluation and training. Performed validation, consistency checks, and output evaluation to improve response quality and business usability while supporting A/B testing iterations. • Annotated financial question-answer data and investment research scenarios. • Designed data schemas and intent routing label categories for stock analysis tasks. • Conducted data validation and consistency reviews, plus model output evaluation. • Supported Python/MCP-based processing workflows to standardize dataset iteration.

2025 - 2025

Education

Work History