马

Key Skills

Software

Label Studio

Top Subject Matter

Stem Domain Expertise

Electrical Engineering

Physics Domain Expertise

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

AI Training & Data Labeling Contributor. Core strengths include Internal and Proprietary Tooling. Education includes Master of Engineering, Chongqing University (2024) and Bachelor of Science, Chongqing University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Training & Data Labeling Contributor

Text

Contributed to AI training and data labeling with a focus on evaluating LLM outputs for consistency, logic, and factual accuracy. Conducted document annotation, preference ranking, rubric-based scoring, claim verification, reasoning reviews, and quality checks for Chinese-English STEM content. Supported structured annotation, field correction, and step-by-step technical answer reviews in STEM domains. • Performed instruction-following checks and hallucination assessments for AI outputs. • Applied expert-level review to technical writing, research documents, and STEM reasoning tasks. • Annotated and scored multilingual data in Chinese and English with technical accuracy. • Utilized simulation-oriented workflows and coding tools for research-oriented annotation.

2024 - Present

STEM Reasoning Task Design and Rubric Evaluation

TextText Generation

Designed a STEM-oriented AI training and evaluation task on Ba1-xSrxTiO3-based PTC semiconductor glaze for low-resistance route validation. The task required evaluating whether Y doping or Ni second-phase introduction was more suitable for achieving low resistance near 0°C while preserving the PTC effect. I structured the task around hypothesis formation, control and experimental group design, key variables, temperature-resistance testing methods, decision criteria, and interpretation of inconsistent results.

2026 - 2026

Education

Work History