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J
Jason S.

Jason S.

Principal DevOps Engineer in Contract Review, Compliance, and Legal Research

USA flagAtlanta, Usa

Key Skills

Software

AppenAppen
LabelboxLabelbox
Data Annotation TechData Annotation Tech
Scale AIScale AI

Top Subject Matter

Continuous Integration and Continuous Deployment (CI/CD)
Cloud Computing and Architecture
Infrastructure as Code (IaC) and Configuration Management

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText
DocumentDocument

Top Task Types

Computer Programming/CodingComputer Programming/Coding
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Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Principal DevOps Engineer in Contract Review, Compliance, and Legal Research. Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Doctor of Philosophy, Georgia State University (2021) and Master of Science, University of Colorado Denver (2014).

Labeling Experience

Data Annotation

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As an AI Training Specialist, I leverage my practical background as a business strategist to enhance the economic reasoning capabilities of state-of-the-art AI models. In this role, I evaluated the AI's responses to complex, multi-layered business queries, assessing everything from broad macroeconomic trends to specific market dynamics. By meticulously rating the AI's performance across technical and analytical metrics, and providing high-quality human feedback, my work directly refines the model's ability to generate accurate, sophisticated, and reliable business intelligence.

2024 - 2026

Outlier ai training

Computer Code ProgrammingComputer Code ProgrammingComputer Programming/CodingComputer Programming/Coding

As an AI Training Specialist focused on Python programming via the Outlier platform, I was responsible for enhancing the code-generation capabilities of state-of-the-art AI models. In this role, I tackled complex software engineering problems and conduct deep-dive evaluations of the AI's proposed solutions. I meticulously rated the AI's performance across various technical metrics, prioritizing optimal algorithmic efficiency, syntax correctness, and overall code quality. By providing high-quality human feedback and comparative analysis of different code outputs, my work directly contributed to making AI models more reliable and sophisticated in their Python generation.

2023 - 2025

Education

G

Georgia State University

Doctor of Philosophy, Distributed Systems and Cloud Computing

Doctor of Philosophy
2017 - 2021
U

University of Colorado Denver

Master of Science, Information Systems Engineering

Master of Science
2012 - 2014

Work History

G

Greenlight Financial Technology

Principal DevOps Engineer

Atlanta
2022 - Present
F

FullStory

Senior Cloud Infrastructure Engineer

Atlanta
2018 - 2022