Key Skills

Software

Appen

Data Annotation Tech

Labelbox

Label Studio

Scale AI

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Action Recognition

Classification

Emotion Recognition

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I am an experienced AI data annotator with a strong background in large language model (LLM) text data labeling, having contributed to projects at Scale AI and Invisible. My work has focused on ensuring the accuracy, consistency, and nuance of complex text datasets used for training and evaluating cutting-edge AI systems. I specialize in tasks such as prompt-response evaluation, error detection, fine-grained categorization, and context-sensitive annotation across diverse subject domains. In addition to hands-on annotation, I bring a deep understanding of data quality standards and bias mitigation practices, helping AI teams build more robust and fair models. I am skilled in using modern labeling platforms and productivity tools to manage high-volume datasets efficiently. With experience collaborating on multilingual projects and supporting model fine-tuning, I combine precision, speed, and adaptability to deliver high-quality training data that powers the next generation of AI applications.

Labeling Experience

Education

Work History