Sergio Emiliano Hernandez Villalpando

Key Skills

Software

Scale AI

Remotasks

Internal/Proprietary Tooling

Toloka

Google Cloud Vertex AI

Top Subject Matter

LLM Training Data

Software Engineering

AI Code Evaluation

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

Computer Programming/Coding

RLHF

Evaluation/Rating

Function Calling

Prompt + Response Writing (SFT)

Segmentation

Classification

Freelancer Overview

Software Engineer Contractor — Alignerr. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Scale AI. Education includes Bachelor of Science, Universidad Autonoma de Aguascalientes (2022) and Certificate, CBTis 68 (2022). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Software Engineer Contractor — Alignerr

Served as a Software Engineer Contractor evaluating coding tasks for LLM training data pipelines. Performed rubric-based code review and structured-output validation to meet model-training standards. Ensured consistency in quality and reduced rework cycles by applying standard rubric interpretation. • Executed systematic rubric-based review and validation of programming outputs • Enhanced the integrity of LLM training datasets for downstream model engineering • Lowered evaluation drift among distributed contributors via consistent review practices • Delivered quality assurance in remote, professional settings.

Served as a Software Engineer Contractor evaluating coding tasks for LLM training data pipelines. Performed rubric-based code review and structured-output validation to meet model-training standards. Ensured consistency in quality and reduced rework cycles by applying standard rubric interpretation. • Executed systematic rubric-based review and validation of programming outputs • Enhanced the integrity of LLM training datasets for downstream model engineering • Lowered evaluation drift among distributed contributors via consistent review practices • Delivered quality assurance in remote, professional settings.

2026 - Present

AI Code Evaluation Specialist — Outlier (Scale AI)

Scale AI

Promoted to AI Code Evaluation Specialist for high-quality assessment of AI code submissions. Evaluated Agent.train integration with ChromaDB and resolved critical pipeline test discrepancies. Applied advanced troubleshooting and reproducible audit workflows for production AI repositories. • Audited Python and JavaScript code tasks in real-world AI projects • Designed Dockerized pipelines for reproducible testing and validation • Diagnosed and resolved hidden test failures and patching issues • Promoted based on top-tier performance and accuracy in specialized code evaluation tasks.

Promoted to AI Code Evaluation Specialist for high-quality assessment of AI code submissions. Evaluated Agent.train integration with ChromaDB and resolved critical pipeline test discrepancies. Applied advanced troubleshooting and reproducible audit workflows for production AI repositories. • Audited Python and JavaScript code tasks in real-world AI projects • Designed Dockerized pipelines for reproducible testing and validation • Diagnosed and resolved hidden test failures and patching issues • Promoted based on top-tier performance and accuracy in specialized code evaluation tasks.

2026 - 2026

Education

Work History