Sr. Full-Stack Software Engineer - Remote

YO AI Labs • Python • JavaScript • Rust • TypeScript • Node JS • 10 hours ago

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Salary

≈ $65k – $137k per year (Estimated)

Location

Remote (Mexico)also open in Brazil, Canada, Finland, Honduras, Poland, Spain +2

Seniority

Senior

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 8, 2026.

Overview

Company

Impact

Profile match

YO AI Labs

YO AI Labs is an artificial intelligence platform specializing in AI model training, evaluation, and data annotation services. Headquartered in San Francisco, California, United States, the company connects domain experts and remote specialists across the globe to review, test, and benchmark generative AI model outputs. Through its decentralized workforce solutions and structured evaluation workflows, it enables frontier technology developers to enhance the accuracy, safety, and reliability of next-generation artificial intelligence systems.

yoailabs.com • HQ: San Francisco, United States • Reinforcement Learning • LLM & Generative AI • Artificial Intelligence • 5000+ employees

Full-Stack Software Engineer

Location: Global, Fully Remote

Job Type: Contractor | ~15 hours/week

Schedule: Flexible

We're looking for experienced Full-Stack Software Engineers to support an AI training project focused on software development, debugging, code evaluation, and technical problem-solving.

Key Responsibilities

Develop and debug front-end and back-end applications.
Build features, APIs, services, and data models.
Understand and work across unfamiliar codebases.
Troubleshoot application, API, database, and integration issues.
Review and evaluate AI-generated code for correctness, security, performance, and maintainability.
Translate and adapt software builds between programming languages.

Required Skills

Python
React
JavaScript
Java
Node.js
Rust
Go
TypeScript
Strong full-stack development experience
Experience with APIs, databases, application architecture, and debugging

Hiring Process

Submit application and screening questions.
Complete a ~30-minute AI interview.
Complete a technical assessment, if required.
Hiring manager review.

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