Katherine Mariano

Key Skills

Software

Scale AI

Appen

Top Subject Matter

Computer Vision

Natural Language Processing

Top Data Types

Image

Text

Top Task Types

Bounding Box

Classification

Freelancer Overview

Data Annotation Specialist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Appen. Education includes Bachelor of Science, Rutgers University (2019) and High School Diploma, East Brunswick High School (2015). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Classification.

Labeling Experience

Data Annotation Specialist

Scale AIImageBounding Box

As a Data Annotation Specialist at Scale AI, I labeled and annotated images, videos, and text for machine learning models. I applied bounding boxes, segmentation, and classification to support computer vision use cases. I maintained high annotation accuracy and performed quality control throughout project cycles. • Collaborated with data scientists and engineers to improve annotation guidelines. • Achieved a consistent 98% annotation accuracy rate for multiple projects. • Used platforms such as Labelbox, CVAT, and Scale AI's proprietary tools for annotation. • Conducted both initial data annotation and secondary quality reviews.

As a Data Annotation Specialist at Scale AI, I labeled and annotated images, videos, and text for machine learning models. I applied bounding boxes, segmentation, and classification to support computer vision use cases. I maintained high annotation accuracy and performed quality control throughout project cycles. • Collaborated with data scientists and engineers to improve annotation guidelines. • Achieved a consistent 98% annotation accuracy rate for multiple projects. • Used platforms such as Labelbox, CVAT, and Scale AI's proprietary tools for annotation. • Conducted both initial data annotation and secondary quality reviews.

2022 - Present

Data Labeling Analyst

AppenTextClassification

As a Data Labeling Analyst at Appen, I annotated and categorized text and image data for AI algorithm training. I performed sentiment analysis and reviewed labeled data submissions for accuracy. I adhered to strict project deliverable timelines and followed detailed guidelines for data labeling. • Validated and improved the quality of labeled data from contributors. • Applied sentiment classification techniques to various NLP projects. • Utilized Appen's internal data labeling and quality assurance platforms. • Demonstrated strong attention to detail to ensure dataset integrity.

As a Data Labeling Analyst at Appen, I annotated and categorized text and image data for AI algorithm training. I performed sentiment analysis and reviewed labeled data submissions for accuracy. I adhered to strict project deliverable timelines and followed detailed guidelines for data labeling. • Validated and improved the quality of labeled data from contributors. • Applied sentiment classification techniques to various NLP projects. • Utilized Appen's internal data labeling and quality assurance platforms. • Demonstrated strong attention to detail to ensure dataset integrity.

2020 - 2022

Education

Work History