Andrés G.

Key Skills

Software

Data Annotation Tech

Mercor

Labelbox

Appen

Scale AI

Remotasks

Surge AI

Telus

CVAT

Top Subject Matter

Cultural heritage & high-fidelity anatomical/structural multimedia generation

General project evaluation and training (extracurricular programs)

Tourism, Hospitality, and Gastronomy Administration

Top Data Types

Image

Document

Text

Top Task Types

Prompt + Response Writing (SFT)

Evaluation/Rating

RLHF

Freelancer Overview

Highly analytical AI Prompt Engineer and Data Quality Reviewer with intermediate experience in generative AI auditing. Specialized in engineering complex, multi-layered prompts to generate and evaluate high-fidelity multimedia content, ensuring strict anatomical, structural, and lighting consistency. Possesses a strong background in QA, rubric-based evaluation, and structured feedback delivery. Holds a Professional Degree in Tourism, Hospitality, and Gastronomy Administration, providing extensive domain expertise for specialized data labeling, text evaluation, and human-in-the-loop (RLHF) workflows.

Labeling Experience

University Extracurricular Programs – Project Evaluator & Trainer (2026–Present)

TextEvaluation/Rating

Assessed and graded advanced extracurricular projects using established quality rubrics and administrative guidelines. Provided structured, actionable feedback to teams to improve the logic, presentation, and execution of deliverables. Maintained objective and consistent evaluation frameworks across multiple operational domains. • Rubric-based project grading and assessment • Structured feedback for deliverable improvement • Consistency across multiple evaluation domains • Administrative guideline adherence

2026 - Present

Independent Freelance Projects – AI Prompt Engineer & Data Quality Reviewer (2025–Present)

ImagePrompt + Response Writing (SFT)

Engineered and refined multi-layer prompts for generative AI to produce accurate, high-fidelity images and videos. Audited AI-generated outputs for anatomical accuracy, facial consistency, and coherent lighting conditions to improve output quality. Iterated prompt parameters to reduce generative artifacts and strengthen the logical structure of produced media. • Image/video quality assurance via rubric-based checks • Focus on anatomical, facial, and lighting consistency • Prompt parameter iteration to improve fidelity • Logical structure training through iterative refinement

2025 - Present

Education

Work History