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Johnny Valladares

Johnny Valladares

AI Training Specialist / Human-in-the-Loop (HITL)

Honduras flagEl Progreso, Honduras
$13.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

Large Language Models
AI Safety
AI Moderation

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

RLHFRLHF
ClassificationClassification
MappingMapping

Freelancer Overview

AI Training Specialist / Human-in-the-Loop (HITL). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Universidad Católica de Honduras (2024) and Bachelor of Arts, National Autonomous University of Honduras (2015). AI-training focus includes data types such as Text, Geospatial, and Tiled Imagery and labeling workflows including RLHF, Classification, and Mapping.

Entry LevelEnglishSpanish

Labeling Experience

Hate Speech & Content Moderation Specialist

OtherTextClassification
I specialized in hate speech and content moderation for AI datasets involving multilingual and culturally nuanced scenarios. This required the application of sociological frameworks to identify, categorize, and document instances of hate speech, extremist rhetoric, and cultural bias. My tasks contributed to improved AI content guardrails and enhanced training dataset safety. • Labeled and classified instances of hate speech and toxic content in text data. • Reviewed and annotated data for cultural, regional, and contextual biases. • Developed annotation guidelines for multilingual moderation use cases. • Communicated findings to data science and AI ethics stakeholders.

I specialized in hate speech and content moderation for AI datasets involving multilingual and culturally nuanced scenarios. This required the application of sociological frameworks to identify, categorize, and document instances of hate speech, extremist rhetoric, and cultural bias. My tasks contributed to improved AI content guardrails and enhanced training dataset safety. • Labeled and classified instances of hate speech and toxic content in text data. • Reviewed and annotated data for cultural, regional, and contextual biases. • Developed annotation guidelines for multilingual moderation use cases. • Communicated findings to data science and AI ethics stakeholders.

2023 - Present

AI Training Specialist / Human-in-the-Loop (HITL)

OtherTextRLHF
As an AI Content Specialist and Human-in-the-Loop (HITL) contributor, I evaluated outputs from Large Language Models (LLMs) using Reinforcement Learning from Human Feedback. My work focused on assessing model accuracy, safety, and toxicity to inform iterative model improvements. I utilized a structured methodology to ensure feedback quality and unbiased evaluations. • Performed LLM output ranking and scoring for response preference and factuality. • Rated model responses for hate speech, bias, and extremism issues. • Engaged in prompt evaluation and iterative feedback cycles with AI engineers. • Contributed to documentation and continuous process improvements.

As an AI Content Specialist and Human-in-the-Loop (HITL) contributor, I evaluated outputs from Large Language Models (LLMs) using Reinforcement Learning from Human Feedback. My work focused on assessing model accuracy, safety, and toxicity to inform iterative model improvements. I utilized a structured methodology to ensure feedback quality and unbiased evaluations. • Performed LLM output ranking and scoring for response preference and factuality. • Rated model responses for hate speech, bias, and extremism issues. • Engaged in prompt evaluation and iterative feedback cycles with AI engineers. • Contributed to documentation and continuous process improvements.

2023 - Present

Geospatial Data Verification Contributor (Google Local Guide Level 8)

OtherMapping
As a Level 8 Local Guide, I verified satellite imagery, points of interest, and local infrastructure data for digital mapping and AI training purposes. My contributions focused on ensuring data accuracy and reliability through systematic geospatial data validation. This work supported the development and refinement of AI-powered mapping solutions. • Conducted satellite image comparison and feature validation. • Confirmed accuracy of geolocated information for AI map training. • Annotated regional infrastructure and point-of-interest data. • Reported inconsistencies and proposed corrections in mapping datasets.

As a Level 8 Local Guide, I verified satellite imagery, points of interest, and local infrastructure data for digital mapping and AI training purposes. My contributions focused on ensuring data accuracy and reliability through systematic geospatial data validation. This work supported the development and refinement of AI-powered mapping solutions. • Conducted satellite image comparison and feature validation. • Confirmed accuracy of geolocated information for AI map training. • Annotated regional infrastructure and point-of-interest data. • Reported inconsistencies and proposed corrections in mapping datasets.

2022 - Present

Education

U

Universidad Católica de Honduras

Master of Science, Project Management

Master of Science
2024 - 2024
N

National Autonomous University of Honduras

Bachelor of Arts, Sociology

Bachelor of Arts
2015 - 2015

Work History

H

Honduran Red Cross

Regional Convention Project Coordinator

El Progreso
2022 - Present
H

Honduran Red Cross

Project Technician - Migration and Forced Displacement

El Progreso
2018 - 2022