For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
E
Estrella Valdés

Estrella Valdés

AI Code Evaluator & Prompt Engineer

Chile flagPunta Arenas, Chile
$50.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

AI Code Evaluation
Prompt Engineering
Software Development

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText
DocumentDocument

Top Task Types

Fine-tuningFine-tuning

Freelancer Overview

AI Code Evaluator & Prompt Engineer. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science in Civil Engineering in Computer Science and Informatics, University of Magallanes (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Fine-tuning.

IntermediateEnglishSpanish

Labeling Experience

AI Code Evaluator & Prompt Engineer

As an AI Code Evaluator & Prompt Engineer at DataMate, I focused on evaluating code generated by language models. My primary responsibilities involved designing structured prompts, assessing the functionality of generated code, and ensuring compliance with project requirements. The work required deep analysis of model outputs and iterative comparisons between different model implementations. • Evaluated code generation outputs from language models in practical software scenarios. • Designed prompts to simulate code evaluation without access to reference implementations. • Reviewed test coverage and validated execution correctness for generated code. • Produced technical reports on model quality and development behavior.

As an AI Code Evaluator & Prompt Engineer at DataMate, I focused on evaluating code generated by language models. My primary responsibilities involved designing structured prompts, assessing the functionality of generated code, and ensuring compliance with project requirements. The work required deep analysis of model outputs and iterative comparisons between different model implementations. • Evaluated code generation outputs from language models in practical software scenarios. • Designed prompts to simulate code evaluation without access to reference implementations. • Reviewed test coverage and validated execution correctness for generated code. • Produced technical reports on model quality and development behavior.

2025 - Present

AI Research Engineer – Bioinformatics AI Project

OtherFine Tuning
As an AI Research Engineer on a Bioinformatics AI Project, I contributed to developing predictive models for therapeutic peptide immunogenicity using machine learning and deep learning. My responsibilities included applying transfer learning, fine-tuning large pre-trained models, and managing scientific experimentation pipelines. This work centered on training, evaluating, and documenting models as part of broader AI-driven data labeling and annotation processes. • Trained and fine-tuned models (ESM, ProtT5, Mistral, Ankh) for immunogenicity prediction. • Managed model evaluation documentation and experiment versioning. • Collaborated on data preparation and validation aligned with bioinformatics standards. • Ensured best practices in reproducibility and MLOps throughout the pipeline.

As an AI Research Engineer on a Bioinformatics AI Project, I contributed to developing predictive models for therapeutic peptide immunogenicity using machine learning and deep learning. My responsibilities included applying transfer learning, fine-tuning large pre-trained models, and managing scientific experimentation pipelines. This work centered on training, evaluating, and documenting models as part of broader AI-driven data labeling and annotation processes. • Trained and fine-tuned models (ESM, ProtT5, Mistral, Ankh) for immunogenicity prediction. • Managed model evaluation documentation and experiment versioning. • Collaborated on data preparation and validation aligned with bioinformatics standards. • Ensured best practices in reproducibility and MLOps throughout the pipeline.

2024 - 2025

Education

U

University of Magallanes

Bachelor of Science in Civil Engineering in Computer Science and Informatics, Computer Science and Informatics

Bachelor of Science in Civil Engineering in Computer Science and Informatics
2018 - 2025

Work History

D

DataMate

AI Code Evaluator

Punta Arenas
2025 - Present
U

University of Magallanes

AI Research Engineer – Bioinformatics AI Project

Punta Arenas
2024 - 2025