Key Skills

Software

AWS SageMaker

Appen

CVAT

Doccano

Labelbox

Label Studio

Lionbridge

OneForma

SuperAnnotate

Surge AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Bounding Box

Entity Ner Classification

Point Key Point

Polygon

Freelancer Overview

I have hands-on experience as a Data Annotation & AI Training Specialist, working on diverse projects in NLP, computer vision, and speech recognition. I’ve contributed to large-scale datasets by performing text classification, named entity recognition, sentiment analysis, bounding box labeling, semantic segmentation, and audio transcription. My work with organizations such as TELUS International, Appen, and iMerit has given me strong expertise in using tools like Labelbox, CVAT, SuperAnnotate, and SageMaker Ground Truth to produce high-quality, production-ready training data. Beyond individual annotation, I’ve also taken on project leadership responsibilities—coordinating annotation teams, refining workflows, and maintaining accuracy above 98%. These experiences not only strengthened my technical labeling skills but also allowed me to build a reputation for quality assurance, guideline development, and cross-team collaboration. My ability to work across multiple data types (text, image, video, and audio) and industries (AR/VR, autonomous systems, and LLM training) makes me a versatile contributor ready to support advanced AI model development.

Labeling Experience

Data Annotator – NLP & Computer Vision

LabelboxTextBounding BoxSegmentation

Annotated text datasets for LLMs, including entity recognition, sentiment analysis, and classification. Delivered high-quality bounding box and segmentation labels for computer vision tasks in AR/VR projects. Collaborated with QA teams to maintain >98% accuracy in labeled datasets. Contributed to audio transcription and tagging projects for virtual assistants and speech AI.

Annotated text datasets for LLMs, including entity recognition, sentiment analysis, and classification. Delivered high-quality bounding box and segmentation labels for computer vision tasks in AR/VR projects. Collaborated with QA teams to maintain >98% accuracy in labeled datasets. Contributed to audio transcription and tagging projects for virtual assistants and speech AI.

2023

Data Labeling Specialist

AppenImageBounding BoxPoint Key Point

Conducted speech-to-text transcription and speaker labeling for AI voice systems. Classified large datasets of social media text for sentiment and intent analysis. Participated in image annotation projects (keypoint and bounding boxes) for autonomous driving datasets. Optimized annotation workflows, improving project efficiency by 15%.

Conducted speech-to-text transcription and speaker labeling for AI voice systems. Classified large datasets of social media text for sentiment and intent analysis. Participated in image annotation projects (keypoint and bounding boxes) for autonomous driving datasets. Optimized annotation workflows, improving project efficiency by 15%.

2021 - 2023

Project Lead – Data Annotation

CVATVideoBounding BoxPolygon

Led a team of annotators on video segmentation and object detection projects for computer vision systems. Ensured consistent labeling quality through peer reviews, training, and process improvements. Partnered with technical staff to refine annotation guidelines and tools, reducing error rates by 20%. Reported project progress to management, delivering ahead of schedule on multiple occasions.

Led a team of annotators on video segmentation and object detection projects for computer vision systems. Ensured consistent labeling quality through peer reviews, training, and process improvements. Partnered with technical staff to refine annotation guidelines and tools, reducing error rates by 20%. Reported project progress to management, delivering ahead of schedule on multiple occasions.

2020 - 2021

Education

Work History