Freelancer

Key Skills

Software

Data Annotation Tech

Top Subject Matter

Computer Programming / Code Generation

Data Science & Analytics

Mathematics / Logical Reasoning

Top Data Types

Text

Top Task Types

RLHF

Classification

Prompt + Response Writing (SFT)

Computer Programming/Coding

Freelancer Overview

Over the past year, I’ve been heavily involved in the technical side of AI training and data annotation, primarily focusing on complex coding evaluations and LLM behavior testing. Coming from a Computer Science engineering background, I naturally gravitated toward premium-tier projects where I could use my actual development skills. My day-to-day work has involved rigorously testing coding agents, debugging flawed logic, and writing detailed, multi-turn feedback to improve model reasoning and accuracy. Because my toolkit includes hands-on experience with Python, advanced SQL, and cloud environments like GCP, I don't just do surface-level text labeling. I dive deep into the mechanics of how these models generate code, handle databases, and execute scripts in environments like WSL2. I genuinely enjoy stress-testing AI outputs and providing the high-quality, technically accurate data needed to fine-tune enterprise-level models.

Labeling Experience

Technical Data Annotator / RLHF Reviewer

TextRLHF

I've been working on an ongoing RLHF project where I evaluate and annotate AI-generated code and technical responses. My main focus is on tasks related to data engineering, SQL databases, and general software development. Day-to-day, I read through the model's outputs to catch bugs or logic errors, rank different responses against each other, and write detailed feedback explaining exactly why one piece of code is better or more efficient than another. We have a pretty strict set of quality guidelines to follow to make sure the training data is highly accurate. It’s very hands-on work that relies heavily on my computer science background to ensure the model is actually learning the right technical concepts and best practices.

2026 - 2026

Education

Work History