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Daniel Mccorvey

Daniel Mccorvey

AI Content Reviewer – Data Labeling and Evaluation

USA flag
Remote, Usa
$4.00/hrExpertClickworker

Key Skills

Software

ClickworkerClickworker

Top Subject Matter

AI-generated text content moderation and evaluation
AI-generated text dataset for language model training
Legal Services & Contract Review

Top Data Types

TextText
VideoVideo
DocumentDocument

Top Task Types

Bounding Box
Segmentation
Classification
Entity Ner Classification
Point Key Point

Freelancer Overview

AI Content Reviewer – Data Labeling and Evaluation. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Arts, University of California, Los Angeles (2017). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating. RESEARCH AND DATA ANNOTATION EXPERIENCE I have gained experience in research related task across multiple AI data labeling and academic projects ensured accurate structured and consistent labeling according to research protocols and projects guidelines Practiced bounding box annotations on documents images using label studios 2 QUALITY ASSURANCE AND VALIDATION Reviewed datasets to ensure high quality annotation suitable for modeling training and academic reserch . Used metrics such ad precision recall and inter annotator agreement to measure and improve annotation realibility ANALYTICAL AND PROBLEM SOLVING Identified ambiguos or inconsistent data points points and proposed improvents to guidelines Adapted to new tools formats and projects requiments to support ongoing research goals DOCUMENTS AND REPORTING mainted detailed records of annotation progress and corrections prepared summaries of findings and workflow for research HANDLING SENSITIVE DATA Experienced in responsibly managing confenditial and personal informations ensuring compliance with ethical standards INDEPENDENT AND COLLABORATIVE LEARNING Practiced new annotation tools and techniques independently including label studio studio Able to collaboratecwith across functional research projects timelines KEY STRENTHS FOR RESEACH tools and platforms label studio annotation dashboard, transcriptions DATA TYPES documents images text audio MINDSET ANALYTICAL ADAPTABLE SELF MOTIVATED COMMITED TO HIGH QUALITY

ExpertSwahiliEnglishChinese Mandarin

Labeling Experience

label Studio and Data Handling Experience

ImageFine Tuning
The project involves creating high quality bounding box annotations on US drivers lincese images to support machine learning models in key documents recognitions and verifications task. Data Annotadion label structured fields such as full names date of births linces number experion date and ensure all bounding boxes are accurate consistent TOOLS USAGE Utilize labels studio for annotation task leveraging its bounding box features task management QUALITY CONSISTENT maintain high inter annotation agreement reviews ambiguos cases and follow data labeling metrics such as precision DATA SECURITY handled sensitive personal informations responsible and ensure confedelityb and compliance with the projects and legal guidelines VOLUMES AND TIMELINES work on large data sets of driver license images and adapt to project deadlines maintaining LEARNING AND ADAPTATIONS willing to dedicate 4 to 8 ho urs to master label studio projects and specific annotations standards

The project involves creating high quality bounding box annotations on US drivers lincese images to support machine learning models in key documents recognitions and verifications task. Data Annotadion label structured fields such as full names date of births linces number experion date and ensure all bounding boxes are accurate consistent TOOLS USAGE Utilize labels studio for annotation task leveraging its bounding box features task management QUALITY CONSISTENT maintain high inter annotation agreement reviews ambiguos cases and follow data labeling metrics such as precision DATA SECURITY handled sensitive personal informations responsible and ensure confedelityb and compliance with the projects and legal guidelines VOLUMES AND TIMELINES work on large data sets of driver license images and adapt to project deadlines maintaining LEARNING AND ADAPTATIONS willing to dedicate 4 to 8 ho urs to master label studio projects and specific annotations standards

2019 - Present

AI Content Reviewer – Data Labeling and Evaluation

Text
As an AI Content Reviewer at Outlier Technologies, I conducted data annotation and labeling tasks to improve AI models. I ensured that all content adhered to guidelines, avoiding harmful information and providing clear feedback to enhance AI-generated responses. I regularly reviewed, evaluated, and improved AI-generated content for quality, accuracy, and relevance. • Collaborated with data science teams to iterate on AI models • Evaluated content for ethical alignment and minimized bias • Conducted quality assurance and improved content standards • Applied internal tools for labeling and evaluation

As an AI Content Reviewer at Outlier Technologies, I conducted data annotation and labeling tasks to improve AI models. I ensured that all content adhered to guidelines, avoiding harmful information and providing clear feedback to enhance AI-generated responses. I regularly reviewed, evaluated, and improved AI-generated content for quality, accuracy, and relevance. • Collaborated with data science teams to iterate on AI models • Evaluated content for ethical alignment and minimized bias • Conducted quality assurance and improved content standards • Applied internal tools for labeling and evaluation

2021 - Present

Volunteer Content Reviewer – GPT-3 Dataset

Text
I volunteered to review AI-generated GPT-3 dataset content for ethical considerations. My role was to enhance the AI's ability to handle sensitive topics and reduce biased outputs. I ensured clear documentation of content issues for future reference. • Reviewed thousands of AI-generated text samples • Reported problematic cases and suggested corrections • Improved dataset quality through detailed annotation • Maintained confidentiality in all labeling tasks

I volunteered to review AI-generated GPT-3 dataset content for ethical considerations. My role was to enhance the AI's ability to handle sensitive topics and reduce biased outputs. I ensured clear documentation of content issues for future reference. • Reviewed thousands of AI-generated text samples • Reported problematic cases and suggested corrections • Improved dataset quality through detailed annotation • Maintained confidentiality in all labeling tasks

2020 - Present

Software Development with JUCE

Computer Code ProgrammingTranscription
Worked with qwen 3 model fine tune and optimise perfomance for specific task prepared and cleaned training dataset including text labeled samples to improve model experience Applied prompt design tuning and evalutions

Worked with qwen 3 model fine tune and optimise perfomance for specific task prepared and cleaned training dataset including text labeled samples to improve model experience Applied prompt design tuning and evalutions

2010 - 2013

Education

U

University of California Berkely

Bachelor of Science in computer Science, Data structure and Algorithims , Introduction to articificial interligence Machine learning fundemental Database systems Human computer interaction

Bachelor of Science in computer Science
2025 - 2025
U

University of California, Los Angeles

Bachelor of Software, Artficial Intelligence

Bachelor of Software
2013 - 2017

Work History

O

Outlier Technologies

AI Content Reviewer

Remote
2021 - Present
A

ABC Corp

Content Moderator & Analyst

New York
2019 - 2021