Lucas E.

Key Skills

Software

Scale AI

Top Subject Matter

LLM training and code-focused model evaluation

LLM training and video-editor evaluation

LLM training and image-editor evaluation

Top Data Types

Computer Code Programming

Top Task Types

Computer Programming/Coding

Evaluation/Rating

Freelancer Overview

AI Trainer & Squad Lead at Code Projects. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI. Education includes Computer Technician, Technical School No. 26 D.E 6 “Confederación Suiza” (2013) and Bachelor’s Degree, University of Buenos Aires (2020). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Micro 1

VideoEvaluation/Rating

They are several AI video evaluation projects focused on assessing videos generated by multimodal models from text prompts. Our role is to analyze outputs across different dimensions such as prompt accuracy, temporal consistency, color drift, visual artifacts, motion coherence, peculiarities, character consistency, camera behavior, and overall realism. The work directly contributes to the training and alignment of next-generation generative video models by helping identify failure patterns and quality issues in model outputs. Currently, I operate in the L2 layer across all projects, working as a reviewer of reviewers and ensuring high-quality evaluation standards and consistency across the annotation pipeline.

2025 - Present

AI Trainer & Squad Lead at Code Projects

Scale AI

Trained and evaluated large language models on a wide range of coding tasks, focusing on reasoning quality and technical correctness. Built and applied prompt sets, reference answers, and evaluation rubrics to score model outputs for accuracy and Java performance across multiple programming languages. Collaborated in a remote squad environment to refine model behavior toward high-quality, project-aligned code responses. • Created evaluation rubrics for model reasoning and accuracy • Wrote high-quality reference answers for coding prompts • Assessed performance in Python, JavaScript, and C++ with emphasis on Java • Led training workflow as Squad Lead within the program

2024 - Present

Education

Work History