Key Skills

Software

CVAT

Labelbox

Label Studio

Scale AI

SuperAnnotate

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Object Detection

RLHF

Segmentation

Tracking

Freelancer Overview

My experience is centered on serving as a high-fidelity AI Training Data Specialist, bridging the gap between raw data and reliable Machine Learning (ML) models. Over the past year, I've processed over 40,000 multi-modal data points and executed more than 500 hours of Reinforcement Learning from Human Feedback (RLHF) tasks, focusing specifically on aligning Large Language Models (LLMs) for safety and effectiveness. My core expertise lies in complex annotation techniques; from Semantic Segmentation for Computer Vision to Named Entity Recognition (NER) for NLP, while maintaining an average quality score (IAA) of 98.5%. What sets me apart is my ability to apply a strong operational and project management mindset to data integrity. I use my background in technical coordination and process optimization to actively improve data pipelines by providing crucial, documented feedback on guideline ambiguities, which has measurably contributed to a reduction in team annotation errors on key projects.

Labeling Experience

Education

Work History