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Eugene Ray

AI Data Annotator / AI Training Specialist

ExpertRemotasksOther

Key Skills

Software

RemotasksRemotasks
Other

Top Subject Matter

General AI
Machine Learning
Llm Domain Expertise

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
Data CollectionData Collection

Freelancer Overview

AI Data Annotator / AI Training Specialist. Core strengths include Remotasks, Outlier AI, and Other. Education includes Master of Science, University of Texas at Arlington (2024) and Bachelor of Science, University of Houston (2022). AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Evaluation, and Rating.

Expert

Labeling Experience

AI Rater / Content Evaluation Contributor

Text
I evaluated AI-generated content using structured rubrics and pairwise comparison methodologies. My work involved rating, reviewing, and providing feedback on large language model outputs. This supported model improvement in coherence, factual accuracy, and compliance with task instructions.• Compared model responses and scored outputs for relevance and quality • Provided structured human feedback to enhance LLM performance • Reviewed prompts and responses to flag errors and inconsistencies • Ensured outputs met established rubrics and guideline standards

I evaluated AI-generated content using structured rubrics and pairwise comparison methodologies. My work involved rating, reviewing, and providing feedback on large language model outputs. This supported model improvement in coherence, factual accuracy, and compliance with task instructions.• Compared model responses and scored outputs for relevance and quality • Provided structured human feedback to enhance LLM performance • Reviewed prompts and responses to flag errors and inconsistencies • Ensured outputs met established rubrics and guideline standards

2023 - Present
Remotasks

AI Data Annotator / AI Training Specialist

RemotasksTextClassification
In this freelance role, I performed data annotation and labeling for AI and machine learning workflows. I handled datasets involving text, images, and classification tasks. Quality assurance and accuracy in label application were consistently emphasized throughout all projects.• Annotated and labeled data using project-specific taxonomies and guidelines • Conducted quality checks to identify inconsistencies and improve accuracy • Participated in pairwise comparison to evaluate AI-generated outputs • Validated labeled datasets to refine training data quality

In this freelance role, I performed data annotation and labeling for AI and machine learning workflows. I handled datasets involving text, images, and classification tasks. Quality assurance and accuracy in label application were consistently emphasized throughout all projects.• Annotated and labeled data using project-specific taxonomies and guidelines • Conducted quality checks to identify inconsistencies and improve accuracy • Participated in pairwise comparison to evaluate AI-generated outputs • Validated labeled datasets to refine training data quality

2023 - Present

Data Annotation & Content Review Freelancer

OtherTextData Collection
As a freelance data annotation and content review specialist, I worked on diverse digital content tasks to support AI workflows. Projects included data collection, categorization, and metadata tagging of text, images, screenshots, and audio clips. I applied detailed review and organization for structured dataset readiness.• Collected and categorized digital content types (text, images, audio, screenshots) • Completed content validation and transcription reviews • Supported metadata tagging and dataset cleaning for labeling • Delivered accurate outputs for remote microtask projects

As a freelance data annotation and content review specialist, I worked on diverse digital content tasks to support AI workflows. Projects included data collection, categorization, and metadata tagging of text, images, screenshots, and audio clips. I applied detailed review and organization for structured dataset readiness.• Collected and categorized digital content types (text, images, audio, screenshots) • Completed content validation and transcription reviews • Supported metadata tagging and dataset cleaning for labeling • Delivered accurate outputs for remote microtask projects

2022 - Present

English Language Quality Review Project

OtherText
This project involved reviewing English language content for grammar, fluency, and semantic correctness. I focused on dataset refinement by improving annotation quality and ensuring clarity in written material. The role required detailed attention to language and consistency criteria.• Reviewed grammar and fluency for English-language outputs • Checked semantic correctness and readability • Enhanced annotation consistency across datasets • Identified unclear or inconsistent phrasing in content

This project involved reviewing English language content for grammar, fluency, and semantic correctness. I focused on dataset refinement by improving annotation quality and ensuring clarity in written material. The role required detailed attention to language and consistency criteria.• Reviewed grammar and fluency for English-language outputs • Checked semantic correctness and readability • Enhanced annotation consistency across datasets • Identified unclear or inconsistent phrasing in content

Not specified

Image & Object Labeling Project

OtherImageClassification
I contributed to a project focused on labeling and categorization of objects and scenes within image datasets. The work supported the training of computer vision models using visual classification techniques. Precise object differentiation and environmental labeling were required throughout.• Labeled and categorized images by object and attribute • Performed image-based classification and counting tasks • Supported computer vision model development • Ensured high accuracy in object/environmental annotation

I contributed to a project focused on labeling and categorization of objects and scenes within image datasets. The work supported the training of computer vision models using visual classification techniques. Precise object differentiation and environmental labeling were required throughout.• Labeled and categorized images by object and attribute • Performed image-based classification and counting tasks • Supported computer vision model development • Ensured high accuracy in object/environmental annotation

Not specified

Education

U

University of Texas at Arlington

Master of Science, Data Science

Master of Science
2024 - 2024
U

University of Houston

Bachelor of Science, Computer Science

Bachelor of Science
2022 - 2022

Work History

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