Kyle Campbell

Key Skills

Software

Labelbox

Top Subject Matter

Software Engineering

Teaching

Top Data Types

Computer Code Programming

Text

Top Task Types

Classification

RLHF

Fine-tuning

Evaluation/Rating

Computer Programming/Coding

Freelancer Overview

As a senior engineer at Google and Dropbox, I’ve spent years working with large-scale data pipelines, ensuring data correctness, consistency, and quality at scale—particularly in high-stakes systems like billing and authentication. My work required careful validation of edge cases, designing systems resilient to noisy or incomplete data, and building tooling (such as bulk correction and replay systems) to identify and fix errors efficiently. This maps closely to the core challenges in training data quality, annotation accuracy, and dataset curation. What sets me apart is a combination of technical depth and human-in-the-loop experience. I’ve mentored engineers, conducted code and design reviews, and served as a teaching assistant and interview coach, which required evaluating nuanced human output and providing clear, actionable feedback—skills directly relevant to reviewing and improving labeled data. I’ve also worked with modern AI-assisted development tools like Cursor and ChatGPT, giving me practical familiarity with how training data impacts model behavior. My background in distributed systems, experimentation platforms, and performance analysis means I approach data labeling with a systems mindset—focusing not just on individual annotations, but on consistency, scalability, and measurable quality improvements across entire datasets.

Labeling Experience

Education

Work History