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Troy Tarleton

Troy Tarleton

AI Data Specialist - Human-in-the-Loop AI Training

USA flag
Houston, Usa
$20.00/hrExpertImeritMercorMindrift

Key Skills

Software

iMeritiMerit
MercorMercor
MindriftMindrift
Scale AIScale AI
Snorkel AISnorkel AI
TolokaToloka
TelusTelus

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
Computer Code ProgrammingComputer Code Programming
DocumentDocument
ImageImage
TextText
VideoVideo

Top Label Types

Bounding Box
Classification
Computer Programming Coding
Evaluation Rating
Fine Tuning
Object Detection
Prompt Response Writing SFT
Question Answering
RLHF
Text Generation
Text Summarization

Freelancer Overview

I am a detail-oriented AI Data Specialist with hands-on experience in data annotation, labeling, and quality review across text, image, audio, and video datasets. My work has supported the development of AI and machine learning models in areas such as computer vision and natural language processing, where I have performed pairwise comparisons, object tagging, prompt-response alignment, and English content evaluation. I am skilled in using web-based annotation platforms, QA frameworks, and productivity tools, consistently delivering high-accuracy results in remote, metrics-driven settings. My strong analytical judgment, commitment to ethical data handling, and ability to adapt quickly to evolving guidelines enable me to ensure the quality, relevance, and safety of AI training data.

ExpertEnglish

Labeling Experience

Mercor

AI Data Specialist (Contract / Remote)

MercorTextText GenerationText Summarization
As an AI Data Specialist, I supported AI development by annotating and evaluating datasets used for model training and fine-tuning. My tasks included conducting pairwise comparisons, counting tasks, object labeling, and comprehensive English content reviews across multiple modalities. I focused on ensuring accuracy, safety, and adherence to quality and policy standards in all labeling assignments. • Labeled and annotated text, image, audio, and video data following detailed instructions. • Reviewed AI-generated outputs for grammar, coherence, and intent alignment. • Identified and flagged ambiguous, misleading, or policy-sensitive content. • Maintained rigorous confidentiality and ethical data handling practices.

As an AI Data Specialist, I supported AI development by annotating and evaluating datasets used for model training and fine-tuning. My tasks included conducting pairwise comparisons, counting tasks, object labeling, and comprehensive English content reviews across multiple modalities. I focused on ensuring accuracy, safety, and adherence to quality and policy standards in all labeling assignments. • Labeled and annotated text, image, audio, and video data following detailed instructions. • Reviewed AI-generated outputs for grammar, coherence, and intent alignment. • Identified and flagged ambiguous, misleading, or policy-sensitive content. • Maintained rigorous confidentiality and ethical data handling practices.

2023
Scale AI

Data Annotation & Quality Review Specialist (Remote)

Scale AIImageBounding BoxClassification
As a Data Annotation & Quality Review Specialist, I labeled structured and unstructured datasets for machine learning and NLP projects. My responsibilities extended to evaluating AI responses and supporting dataset refinement. I ensured high-quality, consistent annotations in remote, asynchronous environments. • Classified and annotated data for NLP and machine learning workflows. • Evaluated AI responses using established scoring rubrics. • Identified duplicates, corrupted entries, and low-value samples. • Adapted quickly to evolving guidelines and remote tasks.

As a Data Annotation & Quality Review Specialist, I labeled structured and unstructured datasets for machine learning and NLP projects. My responsibilities extended to evaluating AI responses and supporting dataset refinement. I ensured high-quality, consistent annotations in remote, asynchronous environments. • Classified and annotated data for NLP and machine learning workflows. • Evaluated AI responses using established scoring rubrics. • Identified duplicates, corrupted entries, and low-value samples. • Adapted quickly to evolving guidelines and remote tasks.

2021 - 2023
Mindrift

Digital Content Analyst (Remote)

MindriftComputer Code ProgrammingText SummarizationRLHF
As a Digital Content Analyst, I reviewed and categorized digital content to enhance dataset structure and usability. I applied labeling frameworks to improve downstream data analysis and retrieval processes. Emphasis was placed on content accuracy and adherence to quality standards throughout all tasks. • Applied detailed tagging and labeling frameworks. • Supported remote web-based task execution and documentation. • Ensured data quality and organization for content pipelines. • Developed proficiency with digital task platforms and productivity tools.

As a Digital Content Analyst, I reviewed and categorized digital content to enhance dataset structure and usability. I applied labeling frameworks to improve downstream data analysis and retrieval processes. Emphasis was placed on content accuracy and adherence to quality standards throughout all tasks. • Applied detailed tagging and labeling frameworks. • Supported remote web-based task execution and documentation. • Ensured data quality and organization for content pipelines. • Developed proficiency with digital task platforms and productivity tools.

2019 - 2021

Education

U

University of Houston

Master of Science, Information Systems and Data Analytics

Master of Science
2020 - 2022
T

Texas Southern University

Bachelor of Science, Computer Information Systems

Bachelor of Science
2015 - 2019

Work History

F

Freelance Projects

Digital Content Analyst

Houston
2019 - 2021