Wilfredo Flores

Key Skills

Software

Labelbox

Appen

Top Subject Matter

Computer Vision

Multimodal AI Training Datasets

Top Data Types

Video

Image

Text

Top Task Types

Tracking

Bounding Box

Entity Ner Classification

Freelancer Overview

AI Training Specialist / Data Annotator. Core strengths include Labelbox and Appen. Education includes Associate Degree, Hillsborough Community College (2019). AI-training focus includes data types such as Video, Image, and Text and labeling workflows including Tracking, Bounding Box, and Entity (NER) Classification.

Labeling Experience

AI Training Specialist / Data Annotator

LabelboxVideoTracking

As an AI Training Specialist/Data Annotator at RWS, I worked on multiple computer vision video annotation projects specifically involving multi-frame object tracking. My primary tasks included processing hundreds of complex video tracking tasks weekly, consistently surpassing accuracy requirements. I actively contributed to improving quality assurance outcomes through systematic error correction. • Annotated high-volume video datasets for tracking objects across frames. • Utilized tools such as Labelbox and CVAT for annotation processes. • Achieved an average annotation accuracy of 97.8%. • Improved QA pass rates from 82% to 91%.

As an AI Training Specialist/Data Annotator at RWS, I worked on multiple computer vision video annotation projects specifically involving multi-frame object tracking. My primary tasks included processing hundreds of complex video tracking tasks weekly, consistently surpassing accuracy requirements. I actively contributed to improving quality assurance outcomes through systematic error correction. • Annotated high-volume video datasets for tracking objects across frames. • Utilized tools such as Labelbox and CVAT for annotation processes. • Achieved an average annotation accuracy of 97.8%. • Improved QA pass rates from 82% to 91%.

2022 - 2024

Data Annotator

LabelboxImageBounding Box

As a Data Annotator at Remotasks, I was tasked with labeling image and video datasets in accordance with carefully defined annotation guidelines. My role demanded speed, accuracy, and quality production in data annotation workflows. I maintained high accuracy ratings and completed a large volume of tasks each week. • Labeled both individual images and multi-frame videos for AI training. • Adhered strictly to annotation guidelines and quality standards. • Achieved 96.3% accuracy on annotation tasks. • Completed an average of 1,150 tasks per week.

As a Data Annotator at Remotasks, I was tasked with labeling image and video datasets in accordance with carefully defined annotation guidelines. My role demanded speed, accuracy, and quality production in data annotation workflows. I maintained high accuracy ratings and completed a large volume of tasks each week. • Labeled both individual images and multi-frame videos for AI training. • Adhered strictly to annotation guidelines and quality standards. • Achieved 96.3% accuracy on annotation tasks. • Completed an average of 1,150 tasks per week.

2022 - 2022

Data Annotation Associate

AppenTextEntity Ner Classification

As a Data Annotation Associate at Appen, I contributed to projects involving annotation of text, image, and audio datasets under strict labeling instructions. My responsibilities included ensuring the accuracy and quality of data for AI model development. I often delivered high-quality annotations requiring minimal revisions. • Annotated datasets across text, image, and audio domains. • Specialized in following complex guidelines for various data types. • Maintained strong reviewer ratings for annotation performance. • Supported efficient delivery of labeled datasets for AI training.

As a Data Annotation Associate at Appen, I contributed to projects involving annotation of text, image, and audio datasets under strict labeling instructions. My responsibilities included ensuring the accuracy and quality of data for AI model development. I often delivered high-quality annotations requiring minimal revisions. • Annotated datasets across text, image, and audio domains. • Specialized in following complex guidelines for various data types. • Maintained strong reviewer ratings for annotation performance. • Supported efficient delivery of labeled datasets for AI training.

2021 - 2021

Education

Work History