Victor Perez

Key Skills

Software

Scale AI

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Segmentation

Bounding Box

Freelancer Overview

I am an experienced AI training specialist with over 5 years dedicated to data labeling and annotation for machine learning projects in computer vision and NLP. My background includes leading large-scale image and video annotation efforts for autonomous vehicles, retail analytics, and smart surveillance, consistently maintaining 99%+ accuracy across more than 500,000 labeled images and video frames. I have deep expertise in semantic segmentation, multi-object tracking, text annotation, and dataset quality assurance, using tools such as CVAT, Labelbox, SuperAnnotate, and V7 Darwin. I excel at developing annotation guidelines, optimizing workflows, and collaborating with ML engineers to ensure datasets meet rigorous model training standards. My commitment to quality and efficiency has enabled me to deliver high-impact, high-accuracy datasets in fast-paced, high-volume environments.

Labeling Experience

Senior AI Training Specialist

Scale AIImageSegmentation

As Senior AI Training Specialist, I led the annotation of large-scale image and video datasets for computer vision projects. My work focused on semantic segmentation, polygon labeling, and multi-object tracking for autonomous vehicles and retail AI systems. I drove a quality-focused culture that consistently achieved 99%+ annotation accuracy.• Performed semantic segmentation and polygon labeling on images • Labeled and tracked objects in high-volume video datasets • Developed annotation guidelines for consistency • Delivered over 500,000+ labeled frames and images

As Senior AI Training Specialist, I led the annotation of large-scale image and video datasets for computer vision projects. My work focused on semantic segmentation, polygon labeling, and multi-object tracking for autonomous vehicles and retail AI systems. I drove a quality-focused culture that consistently achieved 99%+ annotation accuracy.• Performed semantic segmentation and polygon labeling on images • Labeled and tracked objects in high-volume video datasets • Developed annotation guidelines for consistency • Delivered over 500,000+ labeled frames and images

2022

AI Data Annotator

AppenImageBounding Box

As an AI Data Annotator, I labeled and annotated image and video data to train computer vision and NLP models. My responsibilities included using tools like CVAT and Labelbox to conduct frame-by-frame annotation and reviewing for quality. I ensured data accuracy and compliance with project standards, consistently meeting tight deadlines.• Annotated computer vision data for traffic detection and smart city AI • Performed OCR and labeled text datasets for NLP training • Conducted quality assurance and corrected data inconsistencies • Maintained 98–100% QA scores across long-term projects

As an AI Data Annotator, I labeled and annotated image and video data to train computer vision and NLP models. My responsibilities included using tools like CVAT and Labelbox to conduct frame-by-frame annotation and reviewing for quality. I ensured data accuracy and compliance with project standards, consistently meeting tight deadlines.• Annotated computer vision data for traffic detection and smart city AI • Performed OCR and labeled text datasets for NLP training • Conducted quality assurance and corrected data inconsistencies • Maintained 98–100% QA scores across long-term projects

2019 - 2021

Education

Work History