Jenn Burk

Key Skills

Software

Data Annotation Tech

Mercor

Telus

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Prompt Response Writing SFT

Question Answering

Text Summarization

Freelancer Overview

I bring a strong background in clinical science, research, and detailed documentation, all of which translate extremely well into high-quality data labeling and AI training work. As a Clinical Exercise Physiologist working in neuroscience and rehabilitation, I am trained to interpret complex information, follow strict protocols, and record findings with precision and consistency. My experience in academic research at McMaster University further strengthened my ability to analyze text, evaluate information objectively, and work with data in a structured, methodical way. I have extensive experience writing clear, accurate clinical notes, summarizing complex patient information, and following nuanced guidelines—skills that are directly relevant to tasks like text evaluation, prompt-and-response writing, instruction following, and quality control. I’m also comfortable working independently, managing deadlines, and adapting quickly to new rules or annotation frameworks. My diverse background across healthcare, education, and professional communication has given me a strong eye for detail and a natural ability to understand tone, intent, clarity, and context in written material. I’m highly reliable, self-directed, and motivated to contribute to high-quality datasets that help improve the next generation of AI systems.

Labeling Experience

Home Interior Object Detection & Classification

CVATImageBounding BoxPolygon

CVAT, LabelMe, basic image-preprocessing tools Project Overview: In this project, I created a labeled dataset of home-interior photographs to support a computer-vision model designed to identify and classify common household objects used in interior design and real estate marketing. I uploaded a collection of staged-room images (living rooms, kitchens, bedrooms, etc.) and used CVAT to annotate key furniture and décor items. Annotation Responsibilities: Drew bounding boxes around objects such as sofas, chairs, beds, lighting fixtures, wall art, décor pieces, appliances, and storage items Ensured annotation consistency by following project label guidelines and maintaining strict object-naming conventions Used CVAT tools such as zoom, polygon shapes, box interpolation, and annotation grouping to improve accuracy and efficiency Labeled objects with multiple attributes when needed (ex: “sofa – neutral color,” “table – wood surface”) Performed quality control checks, correcting label drift

CVAT, LabelMe, basic image-preprocessing tools Project Overview: In this project, I created a labeled dataset of home-interior photographs to support a computer-vision model designed to identify and classify common household objects used in interior design and real estate marketing. I uploaded a collection of staged-room images (living rooms, kitchens, bedrooms, etc.) and used CVAT to annotate key furniture and décor items. Annotation Responsibilities: Drew bounding boxes around objects such as sofas, chairs, beds, lighting fixtures, wall art, décor pieces, appliances, and storage items Ensured annotation consistency by following project label guidelines and maintaining strict object-naming conventions Used CVAT tools such as zoom, polygon shapes, box interpolation, and annotation grouping to improve accuracy and efficiency Labeled objects with multiple attributes when needed (ex: “sofa – neutral color,” “table – wood surface”) Performed quality control checks, correcting label drift

2024 - 2025

Medical Rehabilitation Movement Classification

CVATVideoBounding BoxPolygon

Annotated rehabilitation exercise videos for a physical therapy dataset, identifying joint positions, gait phases, and compensatory movement patterns. Labeled key anatomical landmarks frame-by-frame to support an AI model designed to analyze mobility, posture, and movement quality in neuro-rehab patients. Added classification tags for correct vs incorrect exercise execution.

Annotated rehabilitation exercise videos for a physical therapy dataset, identifying joint positions, gait phases, and compensatory movement patterns. Labeled key anatomical landmarks frame-by-frame to support an AI model designed to analyze mobility, posture, and movement quality in neuro-rehab patients. Added classification tags for correct vs incorrect exercise execution.

2023 - 2025

Interior Design Aesthetic Tagging for Style Recommendation Systems

CVATImageBounding BoxEntity Ner Classification

I worked on a project focused on tagging interior design images to support an AI-driven style recommendation system. My role included reviewing large sets of home interior photos and applying consistent aesthetic labels such as “modern,” “boho,” “minimalist,” “farmhouse,” “traditional,” and similar style categories. I also tagged secondary attributes including color palette, texture types, lighting style, furniture categories, and staging quality. When needed, I used bounding boxes to identify key elements—such as sofas, artwork, lighting fixtures, or architectural features—to help the model connect object presence with overall style classification. This required strong visual judgment, familiarity with interior design principles, and strict consistency across hundreds of images. To maintain quality, I followed detailed labeling guidelines, double-checked edge cases, and ensured that multi-label categories were applied logically and without overlap. The dataset supported improvements i

I worked on a project focused on tagging interior design images to support an AI-driven style recommendation system. My role included reviewing large sets of home interior photos and applying consistent aesthetic labels such as “modern,” “boho,” “minimalist,” “farmhouse,” “traditional,” and similar style categories. I also tagged secondary attributes including color palette, texture types, lighting style, furniture categories, and staging quality. When needed, I used bounding boxes to identify key elements—such as sofas, artwork, lighting fixtures, or architectural features—to help the model connect object presence with overall style classification. This required strong visual judgment, familiarity with interior design principles, and strict consistency across hundreds of images. To maintain quality, I followed detailed labeling guidelines, double-checked edge cases, and ensured that multi-label categories were applied logically and without overlap. The dataset supported improvements i

2024 - 2024

Real Estate Image Quality Scoring & Feature Extraction for Listing Optimization

CVATImageBounding BoxEntity Ner Classification

In this project, I labeled a large dataset of real estate images to help train a model that evaluates listing photo quality and auto-detects key room features. My work included classifying each image by room type (kitchen, bathroom, living room, etc.), tagging quality factors (lighting, staging, clutter, angles), and drawing bounding boxes around important architectural elements such as windows, appliances, fireplaces, and built-in features. I also annotated staging details, condition issues, and design attributes that improve listing performance. All labels were completed according to strict quality guidelines, using CVAT to ensure accuracy and consistency across hundreds of images.

In this project, I labeled a large dataset of real estate images to help train a model that evaluates listing photo quality and auto-detects key room features. My work included classifying each image by room type (kitchen, bathroom, living room, etc.), tagging quality factors (lighting, staging, clutter, angles), and drawing bounding boxes around important architectural elements such as windows, appliances, fireplaces, and built-in features. I also annotated staging details, condition issues, and design attributes that improve listing performance. All labels were completed according to strict quality guidelines, using CVAT to ensure accuracy and consistency across hundreds of images.

2022 - 2024

Education

Work History