Key Skills

Software

Data Annotation Tech

Labelbox

Google Cloud Vertex AI

Appen

Clickworker

AWS SageMaker

Encord

Diffgram

Label Studio

Micro1

Mercor

Mindrift

Remotasks

Scale AI

SuperAnnotate

Telus

V7 Labs

Internal/Proprietary Tooling

Top Subject Matter

AI/LLM Systems – Training Data, Evaluation & RAG Pipelines

Conversational AI – Agent Workflows, NLQ & Multi-turn Reasoning

Data Science & ML – Structured Data, NLP & Decision Systems

Top Data Types

Document

Image

Text

Top Task Types

Prompt Response Writing SFT

Transcription

Evaluation Rating

Computer Programming Coding

RLHF

Fine Tuning

Data Collection

Text Generation

Freelancer Overview

I have hands-on experience working with AI training data and data labeling across multiple projects, especially in the areas of natural language processing and computer vision. I’ve worked on tasks like annotating text for intent classification, validating model outputs, and structuring datasets for fine-tuning large language models. In addition, I’ve been involved in building and evaluating datasets for real-world applications, including profile matching systems and retrieval-augmented generation (RAG) pipelines. What sets me apart is my strong technical background in AI and machine learning, combined with an eye for detail and data quality. I understand how labeled data directly impacts model performance, so I focus on consistency, accuracy, and edge-case handling. I’ve also worked with tools and frameworks in Python, and I’m comfortable collaborating in fast-paced environments where iteration and feedback are key to improving model outcomes.

Labeling Experience

Education

Work History