Hao H.

Key Skills

Software

Other

Top Subject Matter

Chinese high school mathematics education

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

Data Annotation and AI Training Practice. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Educational Data Annotation System & High School Math Teaching Template System

TextClassification

Built a simple labeling framework for segmenting Chinese high school math problems and student mistakes by topic, subtopic, difficulty, solution model, and error type. Organized annotated data to support personalized teaching and AI-assisted question generation. Designed reusable templates to streamline lesson scripts, problem explanations, and targeted exercises. • Labeled and organized educational data for AI use cases. • Focused on improving annotation consistency for teaching material. • Designed frameworks for math error categorization and follow-up learning. • Supported data structure for personalized and AI-driven review planning.

2024 - Present

AI Education Practice (Prompt Engineering, Evaluation, Workflow Design)

OtherText

Designed and executed prompt-based AI workflows for Chinese math teaching, including OCR input, question analysis, and follow-up exercise generation. Evaluated different AI models for educational use, focusing on the accuracy, clarity, and usefulness of mathematical reasoning. Organized and structured teaching materials, question banks, error tags, and student records for AI-assisted instruction. • Developed and tested prompt templates for mathematical diagnosis and feedback. • Assessed AI model outputs for alignment with educational objectives. • Structured and standardized educational data for AI workflows. • Used browser-based AI tools for evaluation and automation tasks.

2024 - Present

Data Annotation and AI Training Practice

TextClassification

Annotated Chinese high school mathematics educational content and reviewed AI-generated math solutions for correctness and educational value. Labeled math problems by topic, difficulty, knowledge point, solution method, and error type, and classified student mistakes into structured categories. Created annotation standards and converted unstructured teaching material into structured records for later analysis. • Labeled and reviewed diverse Chinese-language math data for AI model training. • Evaluated AI-generated responses for logic, completeness, and student usefulness. • Built annotation criteria for math explanation, diagnosis, and exercise generation. • Supported AI training tasks focused on Chinese education and math reasoning.

2024 - Present

Work History