Rodrigo Santesteban

Key Skills

Software

Labelbox

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Video

Top Task Types

Computer Programming Coding

Prompt Response Writing SFT

Text Generation

Freelancer Overview

I have practical experience in AI training data, focusing on LLM evaluation, prompt engineering, and multilingual text annotation. I’ve collaborated with U.S. teams to assess model outputs, refine prompts, and ensure high-quality, instruction-aligned responses. My 12-year background in journalism gives me strong analytical and content-review skills, while my technical experience in Node.js, Python, and TypeScript helps me understand how annotated data powers AI systems. I work fluently in five languages, allowing me to contribute effectively across diverse NLP tasks.

Labeling Experience

LLM Code Evaluation & Annotation with Labelbox

LabelboxComputer Code ProgrammingText GenerationEvaluation Rating

Worked on a coding-focused LLM project using Labelbox, evaluating model-generated code and programming tasks in Java, Go, and neural network implementations. Rated code for correctness, efficiency, and instruction compliance, created prompt–response pairs for fine-tuning, and validated function-calling outputs. Ensured high-quality annotations through strict technical guidelines and consistency checks across large-scale datasets.

Worked on a coding-focused LLM project using Labelbox, evaluating model-generated code and programming tasks in Java, Go, and neural network implementations. Rated code for correctness, efficiency, and instruction compliance, created prompt–response pairs for fine-tuning, and validated function-calling outputs. Ensured high-quality annotations through strict technical guidelines and consistency checks across large-scale datasets.

2024

LLM Code Evaluation & Programming Task Annotation at Scale AI

Scale AIComputer Code ProgrammingRelationshipClassification

Worked on a coding-focused LLM training project, evaluating model-generated code and programming tasks in Python, JavaScript/TypeScript, Node.js, and PHP. Rated code for correctness, efficiency, and instruction compliance, created prompt–response pairs for fine-tuning, and validated function-calling outputs, ensuring high-quality annotations through strict technical guidelines and consistency checks.

Worked on a coding-focused LLM training project, evaluating model-generated code and programming tasks in Python, JavaScript/TypeScript, Node.js, and PHP. Rated code for correctness, efficiency, and instruction compliance, created prompt–response pairs for fine-tuning, and validated function-calling outputs, ensuring high-quality annotations through strict technical guidelines and consistency checks.

2024

Education

Work History