Key Skills

Software

CVAT

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Video

Top Label Types

RLHF

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I am a Senior AI Data Specialist with over four years of hands-on experience in high-accuracy data annotation, labeling, and model training across leading AI platforms such as Scale AI, Remotasks, Appen, and TELUS International. My expertise spans a wide range of domains, including computer vision (bounding boxes, semantic segmentation, 3D point clouds, video object tracking), NLP (RLHF, sentiment analysis, named entity recognition), and specialized sectors like e-commerce, medical imaging, and geospatial analysis. I have played key roles in training large language models by evaluating and refining AI-generated responses for safety, factual accuracy, and consistency. My work frequently involves leading peer reviews, auditing for "Gold Standard" compliance, and optimizing workflows to deliver results with over 99% accuracy. I am highly adaptable, excel at interpreting complex guidelines, and thrive in fast-paced, evolving project environments.

Labeling Experience

Senior AI Data Specialist

CVATVideoRLHFEvaluation Rating

• Play a critical role in training Large Language Models (LLMs) by evaluating and rewriting AI-generated responses for safety, factual accuracy, and tonal consistency. • Manage complex labeling tasks for autonomous systems, ensuring spatial precision in 3D point clouds and frame-by-frame object tracking consistency. • Serve as a Lead Reviewer, auditing the work of project cohorts to ensure compliance with strict "Gold Standard" criteria, often achieving project-wide accuracy of >99%. • Rapidly pivot between diverse labeling domains (e.g., e-commerce search relevance, medical imaging, geospatial analysis) while maintaining high speed and precision. • Collaborate directly with project leads to clarify ambiguous instructions, significantly reducing rework and improving the quality of final training datasets.

• Play a critical role in training Large Language Models (LLMs) by evaluating and rewriting AI-generated responses for safety, factual accuracy, and tonal consistency. • Manage complex labeling tasks for autonomous systems, ensuring spatial precision in 3D point clouds and frame-by-frame object tracking consistency. • Serve as a Lead Reviewer, auditing the work of project cohorts to ensure compliance with strict "Gold Standard" criteria, often achieving project-wide accuracy of >99%. • Rapidly pivot between diverse labeling domains (e.g., e-commerce search relevance, medical imaging, geospatial analysis) while maintaining high speed and precision. • Collaborate directly with project leads to clarify ambiguous instructions, significantly reducing rework and improving the quality of final training datasets.

2021 - 2025

Education

Work History