Stammy

Key Skills

Software

Lionbridge

Mindrift

OneForma

Telus

Other

Roboflow

Top Subject Matter

AI technical content (Python programming)

Algorithmic coding and AI response verification

Search relevance data

Top Data Types

Text

Image

Video

Top Task Types

Segmentation

Classification

Evaluation Rating

Prompt Response Writing SFT

RLHF

Question Answering

Object Detection

Polygon

Freelancer Overview

AI Technical Editor (Mindrift). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mindrift, Other, and Telus. AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Computer Programming, Coding, and RLHF.

Labeling Experience

Personalized Internet Assessor

TelusTextEvaluation Rating

Analyzing and providing feedback on texts, pages, images, and other types of information for top search engines, using an online tool Through reviewing and rating search results for relevance and quality, helping to improve the overall user experience for millions of search engine users

Analyzing and providing feedback on texts, pages, images, and other types of information for top search engines, using an online tool Through reviewing and rating search results for relevance and quality, helping to improve the overall user experience for millions of search engine users

2025 - 2026

Technical Data Trainer, Project Diamond (RWS)

OtherRLHF

As a Technical Data Trainer for Project Diamond (RWS), I performed RLHF on model responses, focusing on deep-dive fact-checking and algorithmic accuracy. The work included auditing, correcting, and refining Python code for technical efficiency and logical consistency. I contributed to the continuous improvement of model intelligence for computing tasks. • Performed RLHF cycles on Python-generated answers • Conducted algorithmic verification and fact-checking • Improved code performance and documentation • Supported iterative AI training based on detailed feedback

As a Technical Data Trainer for Project Diamond (RWS), I performed RLHF on model responses, focusing on deep-dive fact-checking and algorithmic accuracy. The work included auditing, correcting, and refining Python code for technical efficiency and logical consistency. I contributed to the continuous improvement of model intelligence for computing tasks. • Performed RLHF cycles on Python-generated answers • Conducted algorithmic verification and fact-checking • Improved code performance and documentation • Supported iterative AI training based on detailed feedback

2024 - 2026

Tier 2 Course Contributor, Project Aether (Outlier AI)

Other

As a Tier 2 Course Contributor on Project Aether for Outlier AI, I authored and debugged complex Python scripts to train coding models. Detailed technical documentation for each logic decision was provided to support model training in advanced programming logic. The work focused on creating and optimizing high-level datasets for coding LLMs. • Wrote advanced Python logic for synthetic data • Provided logic documentation for model explainability • Debugged and validated training code samples • Supported AI model training for coding tasks

As a Tier 2 Course Contributor on Project Aether for Outlier AI, I authored and debugged complex Python scripts to train coding models. Detailed technical documentation for each logic decision was provided to support model training in advanced programming logic. The work focused on creating and optimizing high-level datasets for coding LLMs. • Wrote advanced Python logic for synthetic data • Provided logic documentation for model explainability • Debugged and validated training code samples • Supported AI model training for coding tasks

2024 - 2025

Computer Vision Annotation (Independent/Project-based)

RoboflowImagePolygon

I utilized Roboflow and Multimango to perform high-precision image segmentation for computer vision tasks. My work involved executing polygon masking to label micro-defects in smartphone hardware interfaces with over 99% accuracy. The annotations supported pixel-perfect datasets for training vision-based AI. • Performed image segmentation using polygon labeling • Achieved high accuracy in micro-defect identification • Specialized in computer vision annotation for hardware • Leveraged Roboflow and Multimango in workflow

I utilized Roboflow and Multimango to perform high-precision image segmentation for computer vision tasks. My work involved executing polygon masking to label micro-defects in smartphone hardware interfaces with over 99% accuracy. The annotations supported pixel-perfect datasets for training vision-based AI. • Performed image segmentation using polygon labeling • Achieved high accuracy in micro-defect identification • Specialized in computer vision annotation for hardware • Leveraged Roboflow and Multimango in workflow

Not specified

Education

Work History