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Gustavo Gonzalez

Gustavo Gonzalez

AI Data Labeler / RLHF Evaluator

Colombia flagMedellín, Colombia
$10.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Fintech Domain Expertise
Crypto Domain Expertise
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHFRLHF
ClassificationClassification
Red TeamingRed Teaming

Freelancer Overview

Production Manager at Decaf, a non-custodial Solana wallet, with hands-on experience in KYC/AML compliance review using Sumsub, payment ramp integrations across Latin America, and bilingual operations (English/Spanish). My background in financial compliance — reviewing documents, detecting inconsistencies, and applying rule-based judgment to edge cases — transfers directly to AI evaluation tasks. I am an active user of LLMs including Claude and Gemini for daily operational workflows, with a journalism background that enables precise, structured written feedback. Domain expertise: fintech, cryptocurrency (Solana ecosystem), KYC/AML compliance, payments, and sports. Fluent in English and Spanish at a professional level. Entering data labeling as a new discipline, bringing transferable analytical and communication skills from 3+ years in regulated crypto operations.

Entry LevelEnglishSpanish

Labeling Experience

Adversarial Prompt Testing / Red Team Specialist

TextRed Teaming
I designed adversarial prompts to surface model weaknesses, biases, and regulatory safety failures, especially in high-stakes financial contexts. This included prompt engineering for LLMs and targeted testing of model guardrails in both English and Spanish. My work helped improve AI model robustness and reduced hallucination risks in sensitive compliance settings. • Prompt design and adversarial testing for AI safety gaps • Bilingual red teaming to uncover translation-specific vulnerabilities • Specialized in fintech and compliance regulatory scenarios • Direct integration of feedback to model developers and compliance teams

I designed adversarial prompts to surface model weaknesses, biases, and regulatory safety failures, especially in high-stakes financial contexts. This included prompt engineering for LLMs and targeted testing of model guardrails in both English and Spanish. My work helped improve AI model robustness and reduced hallucination risks in sensitive compliance settings. • Prompt design and adversarial testing for AI safety gaps • Bilingual red teaming to uncover translation-specific vulnerabilities • Specialized in fintech and compliance regulatory scenarios • Direct integration of feedback to model developers and compliance teams

2022 - Present

AI Data Labeler / RLHF Evaluator

TextRLHF
I compared and ranked AI-generated responses for relevance, helpfulness, and safety, with a particular focus on fintech, crypto, and compliance topics. My work required reviewing statements for factual accuracy, identifying harmful or policy-violating content, and evaluating whether AI systems followed complex instructions. I also graded answers in domain-specific Q&A tasks and flagged issues in both English and Spanish content. • RLHF/preference ranking for LLM outputs in financial and compliance domains • Factual accuracy review and safety/toxicity flagging across two languages • Instruction-following and domain-specialist Q&A evaluation • Bilingual review for translation quality and language-based safety gaps

I compared and ranked AI-generated responses for relevance, helpfulness, and safety, with a particular focus on fintech, crypto, and compliance topics. My work required reviewing statements for factual accuracy, identifying harmful or policy-violating content, and evaluating whether AI systems followed complex instructions. I also graded answers in domain-specific Q&A tasks and flagged issues in both English and Spanish content. • RLHF/preference ranking for LLM outputs in financial and compliance domains • Factual accuracy review and safety/toxicity flagging across two languages • Instruction-following and domain-specialist Q&A evaluation • Bilingual review for translation quality and language-based safety gaps

2021 - Present

Document & Entity Classification Specialist

DocumentClassification
I classified and labeled financial documents and user transaction types according to strict KYC/AML and compliance criteria. My labeling involved verifying document authenticity, assessing risk typologies, and screening for sanctions or PEP flags. I applied these structured reviews in real-time fintech/crypto environments, mirroring enhanced due diligence practices. • Financial document verification (IDs, POA, selfies) • Classification of transaction types and user risk profiles • AML risk factor annotation and compliance workflow integration • Expertise in sanctions screening and enhanced due diligence

I classified and labeled financial documents and user transaction types according to strict KYC/AML and compliance criteria. My labeling involved verifying document authenticity, assessing risk typologies, and screening for sanctions or PEP flags. I applied these structured reviews in real-time fintech/crypto environments, mirroring enhanced due diligence practices. • Financial document verification (IDs, POA, selfies) • Classification of transaction types and user risk profiles • AML risk factor annotation and compliance workflow integration • Expertise in sanctions screening and enhanced due diligence

2019 - Present

Education

U

Universidad de Medellín

Bachelor of Arts, Sports Journalism

Bachelor of Arts
Not specified

Work History

D

Decaf

Production Manager

Medellín
2023 - Present
G

Genius Sports

Sports Data Administrator

Medellín
2022 - 2022