Olivia Favi

Key Skills

Software

Labelbox

CVAT

Supervisely

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Audio

Top Label Types

Bounding Box

Point Key Point

Segmentation

Classification

Tracking

Freelancer Overview

I am an experienced AI Training Specialist with over three years in data annotation and labeling for computer vision and speech recognition projects. My background includes leading large-scale annotation efforts for image, video, and audio datasets, with expertise in object detection, multi-object tracking, segmentation, and audio transcription. I have a strong command of annotation tools such as Labelbox, CVAT, Supervisely, and VGG Image Annotator, and am skilled in using formats like JSON and XML. My work has contributed to improved model accuracy and performance, particularly in domains such as autonomous vehicles and speech recognition. I am detail-oriented, dedicated to data quality assurance, and thrive in collaborative environments where I can support ML engineers and help refine AI training data pipelines.

Labeling Experience

Speech Recognition Dataset Annotator

LabelboxAudioClassificationTracking

In a speech recognition dataset project, I transcribe and label multilingual audio samples with a focus on speech clarity and background noise annotation. My labeling efforts aim to improve audio model recognition accuracy and overall precision. I perform tagging of speech patterns and document noise sources. • Transcribe audio samples in multiple languages for ML models • Label and classify background noise and speech patterns • Increase model precision through detailed audio annotations • Support iterative improvement of speech recognition datasets.

In a speech recognition dataset project, I transcribe and label multilingual audio samples with a focus on speech clarity and background noise annotation. My labeling efforts aim to improve audio model recognition accuracy and overall precision. I perform tagging of speech patterns and document noise sources. • Transcribe audio samples in multiple languages for ML models • Label and classify background noise and speech patterns • Increase model precision through detailed audio annotations • Support iterative improvement of speech recognition datasets.

2023

AI Training Specialist

LabelboxImageBounding BoxPoint Key Point

As a Lead AI Training Specialist at DataVision AI Technologies, I managed large-scale image, video, and audio annotation projects for computer vision and speech recognition models. My work focused on precise bounding box, polygon, and keypoint annotation for object detection and multi-object tracking. I emphasized maintaining the highest standards for annotation accuracy and dataset quality. • Directed multi-object video tracking and implemented rigorous dataset audits • Collaborated with ML engineers to optimize dataset structures and boost model performance • Enhanced annotation accuracy by 18% through improved quality assurance workflows • Utilized Labelbox, CVAT, and Supervisely for large-scale projects.

As a Lead AI Training Specialist at DataVision AI Technologies, I managed large-scale image, video, and audio annotation projects for computer vision and speech recognition models. My work focused on precise bounding box, polygon, and keypoint annotation for object detection and multi-object tracking. I emphasized maintaining the highest standards for annotation accuracy and dataset quality. • Directed multi-object video tracking and implemented rigorous dataset audits • Collaborated with ML engineers to optimize dataset structures and boost model performance • Enhanced annotation accuracy by 18% through improved quality assurance workflows • Utilized Labelbox, CVAT, and Supervisely for large-scale projects.

2023

Computer Vision Data Annotator

CVATImageSegmentation

At InnovateAI Labs, I annotated over 500,000 image and video frames for object detection using segmentation and classification. I structured and formatted datasets for YOLO models, supporting efficient machine learning training pipelines. My role required a focus on dataset precision and rigorous quality assurance during preprocessing. • Performed manual segmentation and classification on images and videos • Aligned datasets to meet YOLO training specifications • Supported data cleanup, metadata tagging, and preprocessing tasks • Used CVAT and Supervisely extensively for annotation tasks.

At InnovateAI Labs, I annotated over 500,000 image and video frames for object detection using segmentation and classification. I structured and formatted datasets for YOLO models, supporting efficient machine learning training pipelines. My role required a focus on dataset precision and rigorous quality assurance during preprocessing. • Performed manual segmentation and classification on images and videos • Aligned datasets to meet YOLO training specifications • Supported data cleanup, metadata tagging, and preprocessing tasks • Used CVAT and Supervisely extensively for annotation tasks.

2022 - 2023

Autonomous Vehicle Object Detection Dataset Annotator

LabelboxImageBounding BoxTracking

For an autonomous vehicle project, I annotated vehicles, pedestrians, traffic signs, and lane markings across diverse environments. Using bounding box and segmentation standards, my work contributed to enhanced object detection accuracy. I assisted in model validation and dataset preparation for real-world applications. • Marked a range of critical objects for autonomous driving scenarios • Applied precise bounding box and segmentation protocols • Improved object detection model performance through quality labeling • Supported dataset validation and iterative feedback cycles.

For an autonomous vehicle project, I annotated vehicles, pedestrians, traffic signs, and lane markings across diverse environments. Using bounding box and segmentation standards, my work contributed to enhanced object detection accuracy. I assisted in model validation and dataset preparation for real-world applications. • Marked a range of critical objects for autonomous driving scenarios • Applied precise bounding box and segmentation protocols • Improved object detection model performance through quality labeling • Supported dataset validation and iterative feedback cycles.

2022 - 2022

AI Data Annotation Associate

SuperviselyVideoTracking

As an AI Data Annotation Associate at NextWave Analytics, I labeled diverse video datasets for surveillance and automation AI systems. This included real-time video annotation for object and motion tracking, emphasizing operational accuracy. My work involved meticulous quality control and documentation of workflow processes. • Executed motion and object tracking in surveillance video datasets • Conducted ongoing quality control checks to ensure annotation accuracy • Developed annotation guidelines and improved project workflows • Used Supervisely and CVAT to support annotation initiatives.

As an AI Data Annotation Associate at NextWave Analytics, I labeled diverse video datasets for surveillance and automation AI systems. This included real-time video annotation for object and motion tracking, emphasizing operational accuracy. My work involved meticulous quality control and documentation of workflow processes. • Executed motion and object tracking in surveillance video datasets • Conducted ongoing quality control checks to ensure annotation accuracy • Developed annotation guidelines and improved project workflows • Used Supervisely and CVAT to support annotation initiatives.

2021 - 2022

Education

Work History