Albaugh Caden

Key Skills

Software

Mercor

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Text

Top Label Types

Bounding Box

Tracking

Transcription

Freelancer Overview

I am a data analyst with over six years of experience transforming complex datasets into actionable insights to drive business decisions and operational improvements. My background spans large-scale data mining, statistical analysis, predictive modeling, and data visualization, with expertise in SQL, Python, R, Tableau, Power BI, and cloud analytics platforms like AWS and Azure. I have extensive experience building and automating data pipelines, conducting rigorous data quality audits, and developing machine learning models for tasks such as customer segmentation and fraud detection. I excel at breaking down complex analytical problems, identifying patterns in large datasets, and ensuring high data accuracy—skills that are critical for data labeling and AI training data workflows. My work has directly improved operational efficiency, reduced manual effort, and delivered significant cost savings in retail, aviation, and insurance domains. I am passionate about translating technical findings into clear, actionable recommendations and am committed to delivering high-quality, reliable datasets that power AI and business intelligence solutions.

Labeling Experience

Data Annotator

MercorTextTranscription

As a Data Annotator at Mercor, I worked on text-based AI training projects focused on transcription tasks. The scope of the project involved converting audio content into accurate, well-structured text datasets to support natural language processing and speech recognition model development. My responsibilities included transcribing audio files verbatim, ensuring correct grammar, punctuation, speaker identification, and proper formatting according to project guidelines. I handled various accents and audio qualities while maintaining clarity and contextual accuracy. Strict quality assurance measures were followed, including self-review, adherence to transcription standards, and meeting defined accuracy benchmarks to ensure high-quality and reliable training data.

As a Data Annotator at Mercor, I worked on text-based AI training projects focused on transcription tasks. The scope of the project involved converting audio content into accurate, well-structured text datasets to support natural language processing and speech recognition model development. My responsibilities included transcribing audio files verbatim, ensuring correct grammar, punctuation, speaker identification, and proper formatting according to project guidelines. I handled various accents and audio qualities while maintaining clarity and contextual accuracy. Strict quality assurance measures were followed, including self-review, adherence to transcription standards, and meeting defined accuracy benchmarks to ensure high-quality and reliable training data.

2022 - 2025

AI specialist

MercorVideoTracking

As an AI Specialist on a video annotation project, I worked on preparing large-scale video datasets to support object detection and multi-object tracking model development. The scope of the project involved accurately annotating and tracking objects frame-by-frame across video sequences to improve model performance in real-time detection scenarios. My responsibilities included drawing bounding boxes, assigning object IDs, maintaining consistent tracking across frames, and handling occlusions, motion blur, and reappearances. I ensured temporal consistency and precise object alignment throughout the sequences while following detailed annotation guidelines. Strict quality control measures were applied, including self-QA checks, peer reviews, and adherence to accuracy benchmarks to ensure reliable and high-quality training data.

As an AI Specialist on a video annotation project, I worked on preparing large-scale video datasets to support object detection and multi-object tracking model development. The scope of the project involved accurately annotating and tracking objects frame-by-frame across video sequences to improve model performance in real-time detection scenarios. My responsibilities included drawing bounding boxes, assigning object IDs, maintaining consistent tracking across frames, and handling occlusions, motion blur, and reappearances. I ensured temporal consistency and precise object alignment throughout the sequences while following detailed annotation guidelines. Strict quality control measures were applied, including self-QA checks, peer reviews, and adherence to accuracy benchmarks to ensure reliable and high-quality training data.

2022 - 2025

AI specialist

MercorImageBounding Box

As an AI Specialist on an image annotation project using the Mercor platform, I contributed to preparing large-scale image datasets for computer vision model training and validation. The scope of the project involved accurately labeling thousands of images to improve object detection and classification performance. My responsibilities included drawing bounding boxes, assigning classification tags, handling multiple object classes per image, and ensuring consistency with detailed annotation guidelines. I adhered to strict quality assurance measures, including self-reviews, peer reviews, and compliance with established accuracy benchmarks and SOPs. This ensured high-quality, reliable training data to support effective AI model development and retraining cycles.

As an AI Specialist on an image annotation project using the Mercor platform, I contributed to preparing large-scale image datasets for computer vision model training and validation. The scope of the project involved accurately labeling thousands of images to improve object detection and classification performance. My responsibilities included drawing bounding boxes, assigning classification tags, handling multiple object classes per image, and ensuring consistency with detailed annotation guidelines. I adhered to strict quality assurance measures, including self-reviews, peer reviews, and compliance with established accuracy benchmarks and SOPs. This ensured high-quality, reliable training data to support effective AI model development and retraining cycles.

2022 - 2025

Education

Work History