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Eduardo Madero

Eduardo Madero

AI Trainer & Agent Builder (Independent Work)

USA flagBoston, Usa
$40.00/hrExpertData Annotation TechLabel StudioCloudfactory

Key Skills

Software

Data Annotation TechData Annotation Tech
Label StudioLabel Studio
CloudFactoryCloudFactory
CrowdSourceCrowdSource
DataloopDataloop
HumanaticHumanatic

Top Subject Matter

AI Assistant/Agent Behavior
Consumer and Brand Interactive Competition Marketplace
Focused Agents: Sports Fandom, Education, etc

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

RLHFRLHF
Bounding BoxBounding Box
SegmentationSegmentation
ClassificationClassification

Freelancer Overview

AI Trainer & Agent Builder (Independent Work). Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, University of Maryland Global Campus (2024) and Master of Business Administration, University of Texas at San Antonio (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF.

ExpertEnglishSpanish

Labeling Experience

AI Trainer & Agent Builder (Independent Work)

TextRLHF
As an independent AI Trainer and Agent Builder, I designed, refined, and evaluated AI agent outputs iteratively. My work focused on training agents through prompt and response optimization, user context analysis, and modeling human decision patterns. I continuously improved model output quality based on real-world feedback and cognitive-behavioral frameworks. • Designed and iteratively refined response prompts for improvement. • Evaluated and ranked agent outputs for consistency and alignment with user expectation. • Applied cognitive and social science principles to model user behaviors. • Balanced agent system learning with optimal user experience and output clarity.

As an independent AI Trainer and Agent Builder, I designed, refined, and evaluated AI agent outputs iteratively. My work focused on training agents through prompt and response optimization, user context analysis, and modeling human decision patterns. I continuously improved model output quality based on real-world feedback and cognitive-behavioral frameworks. • Designed and iteratively refined response prompts for improvement. • Evaluated and ranked agent outputs for consistency and alignment with user expectation. • Applied cognitive and social science principles to model user behaviors. • Balanced agent system learning with optimal user experience and output clarity.

2023 - Present

Education

U

University of Maryland Global Campus

Master of Science, Computer Systems Technology

Master of Science
2001 - 2004
U

University of Texas at San Antonio

Master of Business Administration, International Business

Master of Business Administration
1998 - 2001

Work History

L

LIPS Equilibrium Network

Founder & Systems Designer

Boston
2024 - Present
I

INDEPENDENT WORK

AI BUILDER AND AI TRAINER

Needham
2023 - Present