阿列克西欧斯

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Large Language Model (LLM) response evaluation and quality assurance

Data validation and quality assurance for an application dataset/workflows

Top Data Types

Text

Top Task Types

Computer Programming/Coding

Function Calling

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

AI Response Evaluator | Independent Project (Large Language Model Response Evaluation Project). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Engineering, Nanjing University of Technology Zijin College (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

AI Response Evaluator | Independent Project (Large Language Model Response Evaluation Project)

Don't discloseText

Independently evaluated and analyzed large language model (LLM) responses across multiple knowledge and practical domains. Labeled response quality using predefined criteria such as factual accuracy, instruction following, relevance, logical consistency, completeness, safety/harmlessness, and fluency/readability. Performed response classification, ranking, and quality scoring to support AI model improvement workflows. • Compared outputs from multiple LLMs (e.g., ChatGPT, DeepSeek, Claude, Gemini) • Identified hallucinations, factual inaccuracies, logical inconsistencies, and instruction-following issues • Documented evaluation results and produced quality assessment reports • Designed prompts of varying complexity to test reasoning, comprehension, and problem-solving performance

2026 - Present

Project Lead | Independent Developer (Second-Hand Book Trading Platform)

OtherText

Built a campus-oriented second-hand book trading platform with a focus on structured workflows, data integrity, and quality assurance practices. While not an AI labeling role, the work involved validating and organizing user and product data through back-end services and database design. Conducted system testing and bug fixing with emphasis on data validation and performance optimization. • Implemented back-end services (Spring Boot) for core platform modules • Designed and maintained relational databases (MySQL) for data integrity • Integrated front-end pages (Vue.js) with REST APIs (Axios) • Performed system testing, data validation, bug fixing, and performance optimization

2025 - 2026

Education

Work History