Stanley Owen

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Datumbox

Deep Systems

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Text

Top Task Types

Action Recognition

Audio Recording

Computer Programming Coding

Evaluation Rating

Geocoding

Freelancer Overview

I’ve been immersed in the code trenches for a solid three years, experimenting with AI training and data labeling. Did a stint at Microsoft, got my hands dirty at Oracle too—so, yeah, I know my way around big-name tech. Full-stack dev? Done it. Database wrangling? Easy. Testing, poking holes in code (even the stuff AI spits out)—that’s my jam. I’ve dabbled in all sorts of weird projects: action recognition, geocoding, audio labeling—you name it, I’ve probably had to debug it at 2 AM. I’m the guy who sits there running structured tests, giving feedback, and making sure the AI isn’t just hallucinating nonsense. I'm proficient in SQL, Swift, Ruby, and possibly a few more languages, depending on the day. Plus, I geek out over math and cryptography, so I’m not just winging it when it comes to the tough stuff. The real flex? I know how to connect the dots between hardcore engineering and the nitty-gritty of AI annotation. So if you need someone who can straddle both worlds and help a team build machine learning magic, yeah, that’s me.

Labeling Experience

Human Action Recognition in Surveillance Video Data

Data Annotation TechVideoTrackingDiagnosis

This project focused on annotating video footage to train machine learning models for real-time action detection in smart surveillance systems. Tasks included identifying and labeling human activities such as walking, running, falling, loitering, and object interactions

This project focused on annotating video footage to train machine learning models for real-time action detection in smart surveillance systems. Tasks included identifying and labeling human activities such as walking, running, falling, loitering, and object interactions

2024 - 2025

AI Code Evaluation and Annotation for LLM Training

AppenTextClassificationText Generation

This project involved evaluating and annotating AI-generated code responses for large-scale language model training. I reviewed snippets written in various programming languages such as Swift, SQL, and Ruby, identifying logical errors, formatting issues, and code inefficiencies. Each response was assessed for functionality, accuracy, and adherence to best practices. I also generated alternate solutions where needed and added clarifying comments or documentation

This project involved evaluating and annotating AI-generated code responses for large-scale language model training. I reviewed snippets written in various programming languages such as Swift, SQL, and Ruby, identifying logical errors, formatting issues, and code inefficiencies. Each response was assessed for functionality, accuracy, and adherence to best practices. I also generated alternate solutions where needed and added clarifying comments or documentation

2020 - 2021

Education

Work History