Alberto Ortiz Lorca

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Classification

Translation Localization

RLHF

Data Collection

Transcription

Freelancer Overview

I am an engineer in training with a bachelor’s degree in Statistics and Computation, with hands-on experience in AI training and data analysis. At Banco Security, I worked on generating linear models and supporting data-driven credit risk decisions, strengthening my skills in analytical reasoning and inferential statistics. I have direct experience with RLHF models, contributing to the training, evaluation, and refinement of AI systems. I am proficient in data annotation and labeling tasks, possess advanced English proficiency, and communicate clearly and effectively. I am motivated to apply my technical background, precision, and attention to detail to support high-quality AI and machine learning projects.

Labeling Experience

AI trainer

Scale AITextClassificationTranslation Localization

The project involved a range of data labeling and evaluation tasks to support the training and improvement of large language models (LLMs). Tasking included translation, text classification, reinforcement learning from human feedback (RLHF), and other annotation and review activities focused on model accuracy, safety, and alignment. Project scope, client details, and datasets were confidential. Quality was ensured through established guidelines, multi-step review processes, consistency checks, and ongoing performance monitoring to maintain high annotation standards.

The project involved a range of data labeling and evaluation tasks to support the training and improvement of large language models (LLMs). Tasking included translation, text classification, reinforcement learning from human feedback (RLHF), and other annotation and review activities focused on model accuracy, safety, and alignment. Project scope, client details, and datasets were confidential. Quality was ensured through established guidelines, multi-step review processes, consistency checks, and ongoing performance monitoring to maintain high annotation standards.

2024 - 2025

Education

Work History