Olivia Favi

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Point Key Point

Tracking

Freelancer Overview

I am an experienced AI training specialist with three years of hands-on expertise in data annotation for image, video, and audio datasets, supporting machine learning and computer vision projects. My background includes object detection, tracking, semantic segmentation, and speech data labeling, with a strong focus on preparing high-quality datasets that drive model accuracy. I am skilled in using industry-standard tools like Labelbox, CVAT, Supervisely, Roboflow, and Amazon SageMaker Ground Truth, and have worked extensively with YOLO, COCO, and Pascal VOC formats. I excel at quality assurance, achieving over 98% accuracy in my work, and enjoy collaborating with ML engineers to refine annotation guidelines and optimize workflows. My technical foundation in computer science and familiarity with Python, data preprocessing, and augmentation further enable me to deliver reliable and efficient training data for AI solutions.

Labeling Experience

Data Labeling Specialist

LabelboxImageBounding Box

As a Data Labeling Specialist, I annotated image, video, and audio datasets for AI model training. My work included using bounding boxes, polygons, and segmentation masks for object detection and tracking. I ensured data quality through regular checks and close adherence to project guidelines. • Utilized Labelbox, CVAT, Supervisely, Roboflow, and Scale AI for labeling. • Collaborated with remote teams of AI engineers and project managers. • Delivered datasets with 98%+ labeling accuracy. • Specialized in keypoint and pose annotations.

As a Data Labeling Specialist, I annotated image, video, and audio datasets for AI model training. My work included using bounding boxes, polygons, and segmentation masks for object detection and tracking. I ensured data quality through regular checks and close adherence to project guidelines. • Utilized Labelbox, CVAT, Supervisely, Roboflow, and Scale AI for labeling. • Collaborated with remote teams of AI engineers and project managers. • Delivered datasets with 98%+ labeling accuracy. • Specialized in keypoint and pose annotations.

2023

Data Annotation Associate

LabelboxImagePoint Key Point

As a Data Annotation Associate, I labeled a variety of structured and unstructured datasets, including images, videos, and audio for computer vision applications. I completed keypoint, pose, and tracking annotations, as well as speech tagging and audio transcription tasks. My responsibilities included dataset validation and quality review to ensure consistency and accuracy. • Used Labelbox, CVAT, Supervisely, Roboflow, and Scale AI platforms. • Supported computer vision teams in dataset preparation. • Maintained high productivity while meeting benchmarks. • Reviewed and corrected errors in labeled data.

As a Data Annotation Associate, I labeled a variety of structured and unstructured datasets, including images, videos, and audio for computer vision applications. I completed keypoint, pose, and tracking annotations, as well as speech tagging and audio transcription tasks. My responsibilities included dataset validation and quality review to ensure consistency and accuracy. • Used Labelbox, CVAT, Supervisely, Roboflow, and Scale AI platforms. • Supported computer vision teams in dataset preparation. • Maintained high productivity while meeting benchmarks. • Reviewed and corrected errors in labeled data.

2022 - 2023

Education

Work History