Cynthia C.

Key Skills

Software

Telus

Remotasks

Top Subject Matter

Mathematical Physics

Theoretical Modeling

AI for Science

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Classification

Text Generation

Freelancer Overview

Mathematical Physics Data Annotator. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Telus. Education includes Doctor of Philosophy, University of Florida (2021) and Master of Science, University of Florida (2018). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Classification, and Text Generation.

Labeling Experience

Mathematical Physics Data Annotator

TextPrompt + Response Writing (SFT)

As a Mathematical Physics Data Annotator at OpenTrain AI, I curated and annotated mathematical physics prompts for AI model training. I developed and evaluated benchmark datasets focusing on topics like differential equations, classical mechanics, and tensor calculus. I also provided expertise in refining AI prompts and evaluating model understanding of physics-based content. • Annotated high-complexity physics and math prompts for LLM fine-tuning • Assessed model outputs for conceptual understanding in mathematical physics • Participated in benchmark creation and evaluation exercises • Supported refinement of physics-themed LLM prompts and response evaluation

2024 - 2025

AI Data Trainer – Physics & Mathematics

TelusTextClassification

As an AI Data Trainer at TELUS International AI, I labeled advanced physics and applied mathematics problems for AI tutoring systems. My work focused on electrodynamics, complex analysis, and partial differential equations. I performed quality assurance and validated datasets for scientific language models in a multilingual context. • Labeled and classified complex scientific text data for LLM training • Checked and validated multilingual annotations in physics/math • Collaborated with global teams on dataset accuracy • Contributed to model evaluation for scientific reasoning tasks

2023 - 2024

Mathematical Physics Task Annotator

RemotasksTextText Generation

At Remotasks, I translated theoretical physics problems into annotated formats for AI model consumption. This involved detailed annotation of LaTeX-heavy physics content, physical units, and formal mathematical proofs. I focused on ensuring accuracy in AI-readable explanations of physical systems. • Generated annotated training data for AI using theoretical physics exercises • Added physical constants and units in math-physics data • Specialized in topics like quantum mechanics and thermodynamics • Ensured the integrity of AI explanations and derivations

2022 - 2023

Education

Work History