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C

Carton Joseph

Data Annotation Specialist (Project-Based)

USA flagSeattle, Usa
ExpertOtherScale AI

Key Skills

Software

Other
Scale AIScale AI

Top Subject Matter

Machine Learning Model Development
AI and Machine Learning Model Training
Computer Vision Model Development

Top Data Types

VideoVideo
ImageImage
TextText
DocumentDocument

Top Task Types

Classification

Freelancer Overview

Data Annotation Specialist (Project-Based). Brings 23+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Atlas Capture, Other, and Scale AI. Education includes Associate Degree, Seattle Central College (1980). AI-training focus includes data types such as Video, Image, and Text and labeling workflows including Classification, Evaluation, and Rating.

Expert

Labeling Experience

Data Annotation Specialist (Project-Based)

VideoClassification
As a Data Annotation Specialist, I annotated over 100 video recordings to aid machine learning dataset development. I followed detailed annotation guidelines to label visual elements and scene components within video data. Regular quality reviews ensured labeling accuracy and consistency across batches. • Supported machine learning and AI model training through precise video labeling • Used platform-specific tools for accurate visual annotation • Conducted active flagging of ambiguous samples for guideline updates • Maintained productivity and accuracy on high-volume video datasets

As a Data Annotation Specialist, I annotated over 100 video recordings to aid machine learning dataset development. I followed detailed annotation guidelines to label visual elements and scene components within video data. Regular quality reviews ensured labeling accuracy and consistency across batches. • Supported machine learning and AI model training through precise video labeling • Used platform-specific tools for accurate visual annotation • Conducted active flagging of ambiguous samples for guideline updates • Maintained productivity and accuracy on high-volume video datasets

2024 - Present
Scale AI

Prompt Ranking & AI Response Comparison Project

Scale AIText
I undertook evaluation and ranking of AI-generated responses as part of large language model (LLM) training workflows. Multiple model outputs were compared and ranked based on accuracy, relevance, and reasoning quality. Insights were documented to inform algorithmic and prompt refinement. • Compared and ranked LLM-generated text outputs • Documented comparative assessments and rationale • Identified and reported on quality issues in AI outputs • Supported continual improvement of model responses for higher accuracy

I undertook evaluation and ranking of AI-generated responses as part of large language model (LLM) training workflows. Multiple model outputs were compared and ranked based on accuracy, relevance, and reasoning quality. Insights were documented to inform algorithmic and prompt refinement. • Compared and ranked LLM-generated text outputs • Documented comparative assessments and rationale • Identified and reported on quality issues in AI outputs • Supported continual improvement of model responses for higher accuracy

2021 - Present

Atlas Capture Video Annotation Projects

VideoClassification
I annotated video samples for computer vision training datasets using defined guidelines. Frame-level consistency and detailed labeling of objects, environmental factors, and relevant visual information were maintained throughout each project. The work supported the development of robust machine learning video models. • Performed point-by-point video annotation for diverse data batches • Followed stringent visual annotation protocols • Reviewed and adjusted labels for clarity and accuracy • Ensured annotation alignment with project goals and quality standards

I annotated video samples for computer vision training datasets using defined guidelines. Frame-level consistency and detailed labeling of objects, environmental factors, and relevant visual information were maintained throughout each project. The work supported the development of robust machine learning video models. • Performed point-by-point video annotation for diverse data batches • Followed stringent visual annotation protocols • Reviewed and adjusted labels for clarity and accuracy • Ensured annotation alignment with project goals and quality standards

2021 - Present

Independent Data Annotation & AI Evaluation Contractor

OtherImageClassification
I performed independent data annotation and AI output evaluation across text and image projects. The work contributed to the refinement and training of AI and machine learning models. I conducted evaluations according to strict quality standards. • Provided classification and annotation of image and text datasets • Evaluated model output to identify logical errors and factual inaccuracies • Created detailed feedback to promote model improvement • Adapted approaches based on project requirements

I performed independent data annotation and AI output evaluation across text and image projects. The work contributed to the refinement and training of AI and machine learning models. I conducted evaluations according to strict quality standards. • Provided classification and annotation of image and text datasets • Evaluated model output to identify logical errors and factual inaccuracies • Created detailed feedback to promote model improvement • Adapted approaches based on project requirements

2021 - Present

Education

S

Seattle Central College

Associate Degree, Accounting and Business Administration

Associate Degree
1980 - 1980

Work History

C

City Of Seattle

Senior Accounting Assistant

Seattle
1983 - 2005