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Jiangqin Ma

Jiangqin Ma

Enhanced AI datasets by researching, verifying, and refining data for LLM

USA flagRichland, Usa
$12.00/hrIntermediateGoogle Cloud Vertex AILabelboxOneforma

Key Skills

Software

Google Cloud Vertex AIGoogle Cloud Vertex AI
LabelboxLabelbox
OneFormaOneForma
Snorkel AISnorkel AI
Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
TextText

Top Task Types

Classification
Computer Programming Coding
Data Collection
Fine Tuning
Text Generation

Freelancer Overview

Optimizing Mathematical Reasoning in LLMs at Snorkel AI I specialize in developing and refining large language models for advanced mathematical reasoning. At Snorkel AI, I focus on creating models that decompose complex math problems into clear, verifiable steps using techniques like chain-of-thought prompting and reinforcement learning. This work enhances LLM accuracy and minimizes errors in arithmetic and formal proofs. Advanced Data Research and Annotation for Machine Learning at Welocalize In my role at Welocalize, I conduct detailed online research following project-specific guidelines to ensure data accuracy and relevance across diverse domains—ranging from maps and news to audio evaluations and training datasets for LLMs. By transforming raw data into actionable insights, I improve content quality, user experience, and dataset utility, which are crucial for robust AI training.

IntermediateEnglishChinese Mandarin

Labeling Experience

AI Data Annotator

OtherTextEvaluation Rating
In my role at Welocalize, I conduct detailed online research following project-specific guidelines to ensure data accuracy and relevance across diverse domains—ranging from maps and news to audio evaluations and training datasets for LLMs. By transforming raw data into actionable insights, I improve content quality, user experience, and dataset utility, which are crucial for robust AI training.

In my role at Welocalize, I conduct detailed online research following project-specific guidelines to ensure data accuracy and relevance across diverse domains—ranging from maps and news to audio evaluations and training datasets for LLMs. By transforming raw data into actionable insights, I improve content quality, user experience, and dataset utility, which are crucial for robust AI training.

2023

Education

G

Georgia Institute of Technology

Mater of Science, Analytics

Mater of Science
2022 - 2024

Work History

C

Connected to Culture

Lead Data Scientist

Washington DC
2023 - Present