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Stacey M.

Stacey M.

AI Cloud Systems Evaluator | DataAnnotation (2022–2023)

USA flagPhiladelphia, Usa

Key Skills

Software

AWS SageMakerAWS SageMaker
Anno-MageAnno-Mage
AppenAppen
ArgillaArgilla
Axiom AI
ClickworkerClickworker
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech

Top Subject Matter

AI model evaluation for cloud/DevOps infrastructure engineering (Terraform/AWS)
DevOps/cloud computing education and infrastructure automation evaluation

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Task Types

Bounding BoxBounding Box
PolygonPolygon
SegmentationSegmentation
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Point/Key PointPoint/Key Point
PolylinePolyline
CuboidCuboid
Object DetectionObject Detection
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization
RLHFRLHF
Fine-tuningFine-tuning
Red TeamingRed Teaming
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating

Freelancer Overview

AI Cloud Systems Evaluator | DataAnnotation (2022–2023). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Georgia Institute of Technology (2022) and Bachelor of Science, Arizona State University (2020). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Cloud Systems Evaluator | DataAnnotation (2022–2023)

Other

Created AI training and evaluation tasks for cloud engineering models focused on Terraform HCL, AWS CDK, CloudFormation, IAM policy design, and CI/CD troubleshooting. Designed realistic prompts with ambiguity and partial context to mirror engineering backlog conditions and expected validation outcomes. Built grading rubrics and reference solutions to assess correctness, completeness, maintainability, and security alignment of model-generated infrastructure code. • Prompt creation and scenario design with operational constraints • Reference (golden) solution authoring for infrastructure code • Output review of model-generated code and rubric-based scoring • Documentation of recurring failure patterns, edge cases, and consistency improvements

2022 - 2023

Teaching Assistant – DevOps and Cloud Computing | Georgia Institute of Technology (2019–2020)

Other

Supported DevOps and cloud computing instruction by evaluating student work for quality, correctness, and reproducibility in infrastructure automation contexts. Conducted technical review sessions on AWS architecture, Terraform, CI/CD pipelines, Docker deployment, and cloud troubleshooting. Developed lab instructions and debugging scenarios aligned to course requirements for successful infrastructure deployment. • Graded code quality and documentation for coursework submissions • Assessed architecture reasoning and ability to meet technical requirements • Facilitated review sessions focused on practical cloud/automation tasks • Authored lab materials and debugging examples for infrastructure projects

2019 - 2020

Education

G

Georgia Institute of Technology

Master of Science, Computer Science

Master of Science
2022 - 2022
A

Arizona State University

Bachelor of Science, Software Engineering

Bachelor of Science
2020 - 2020

Work History

L

Logicworks

Senior DevOps Engineer

Philadelphia
2023 - 2026
C

Cox Automotive

Site Reliability Engineer

Philadelphia
2020 - 2022