Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Google Cloud Vertex AI

LabelImg

Mercor

Mighty AI

Mindrift

Redbrick AI

Remotasks

Telus

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Document

Geospatial Tiled Imagery

Image

Medical Dicom

Text

Video

Top Label Types

Action Recognition

Audio Recording

Data Collection

Diagnosis

Emotion Recognition

Evaluation Rating

Object Detection

Point Key Point

Prompt Response Writing SFT

Question Answering

Segmentation

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

I am an AI training and data quality professional with hands-on experience validating datasets, annotating training data, and supporting robust AI data pipelines for companies like TELUS Digital and Otter.ai. My background combines rigorous software testing and human-in-the-loop evaluation with a strong user-centered mindset from my UI/UX design work. I have contributed to over 15 AI and machine learning projects, performing data validation, annotation review, and quality assurance to ensure high accuracy and consistency in training datasets—especially in NLP and AI-powered transcription platforms. I am skilled with tools such as Jira, Asana, Canva, Figma, and various AI annotation platforms, and have collaborated closely with data scientists and engineers to optimize data collection and labeling workflows. My approach emphasizes data integrity, systematic testing, and effective cross-functional communication, making me well-suited for roles focused on reliable, ethical, and user-friendly AI systems.

Labeling Experience

Education

Work History