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Xingquan Zou

Physics domain expert in Contract Review, Compliance, and Legal Research

USA flagMilpitas, Usa
$75.00/hrExpertSnorkel AI

Key Skills

Software

Snorkel AISnorkel AI

Top Subject Matter

Legal Services & Contract Review
Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Text GenerationText Generation
Fine-tuningFine-tuning
Question AnsweringQuestion Answering
Evaluation/RatingEvaluation/Rating

Freelancer Overview

I hold a PhD in Physics, and I bring domain-expert experience in creating and evaluating high-quality technical content for AI training. My work spans designing complex physics problems, validating multi-step reasoning, and identifying subtle errors in model-generated outputs—skills directly aligned with rigorous data labeling and evaluation. Work experience with Handshake and Snorkel AI.

ExpertEnglish

Labeling Experience

Snorkel AI

TextQuestion Answering
AI has the potential to meaningfully accelerate scientific discovery, but it still struggles with the kind of deep, multi-step reasoning that STEM experts do every day. We're building a dataset to change that. Think of it this way: we want to equip AI models to serve as a powerful tool for researchers, helping tackle the complex, authentic problems that arise in real scientific work. To get there, models need to learn from the best, and that's where you come in. In this project, you will be teaching AI by constructing challenging, expert-level problems, demonstrating rigorous solution processes, and providing structured feedback on how well AI responds to those problems. Just like with any student, the more clearly you demonstrate your thought process, the better AI can learn from it. Throughout this project, rigorous attention to detail, clarity, and information quality will be a top priority.

AI has the potential to meaningfully accelerate scientific discovery, but it still struggles with the kind of deep, multi-step reasoning that STEM experts do every day. We're building a dataset to change that. Think of it this way: we want to equip AI models to serve as a powerful tool for researchers, helping tackle the complex, authentic problems that arise in real scientific work. To get there, models need to learn from the best, and that's where you come in. In this project, you will be teaching AI by constructing challenging, expert-level problems, demonstrating rigorous solution processes, and providing structured feedback on how well AI responds to those problems. Just like with any student, the more clearly you demonstrate your thought process, the better AI can learn from it. Throughout this project, rigorous attention to detail, clarity, and information quality will be a top priority.

2026 - Present

Handshake AI

TextEvaluation Rating
This project focuses on systematically evaluating model responses across multiple quality dimensions. You'll review model-generated answers and compare them using structured criteria. Based on these evaluations, assign preference rankings that reflect which responses best satisfy the prompt's intent and demonstrate strong reasoning and communication.

This project focuses on systematically evaluating model responses across multiple quality dimensions. You'll review model-generated answers and compare them using structured criteria. Based on these evaluations, assign preference rankings that reflect which responses best satisfy the prompt's intent and demonstrate strong reasoning and communication.

2026 - Present

Education

N

Nanyang Technological University, Sinpapore

Doctor of Philosophy, Physics

Doctor of Philosophy
2008 - 2013

Work History

K

KLA

Senior Product Development Engineer

Milpitas
2020 - Present
P

Picarro

System Development/Test Engineer

Santa Clara
2018 - 2020