Salary
$200k – $280k per year
Location
In office (Phoenix)
Confirmed on the employer's own hiring board on Sep 28, 2026. First seen by Alion on Sep 26, 2026.
Overview
Company
Impact
Profile match
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.
Job Description
Role Title: Software Engineer (Go, Python, TS)
Role Type: Contract
Location: Remote
Scope of Work:
- Design and implement code solutions using Go, Python, and TypeScript to simulate real-world development scenarios for AI model training.
- Review, analyze, and critique sample code and technical materials, providing detailed written feedback that enhances AI understanding of software engineering concepts.
- Generate high-quality code samples, unit tests, and documentation to support a wide range of AI training use cases.
- Identify edge cases, best practices, and common pitfalls in software design and development to help refine model outputs.
- Contribute to discussions and collaborative reviews that focus on effective communication of complex technical ideas.
- Refine prompts and queries that will be used to evaluate and improve AI-generated code outputs.
Preferred Qualifications:
- Expert-level proficiency in Go, with substantial hands-on project experience.
- Strong command of Python and TypeScript, with the ability to write clean, idiomatic code in both languages.
- Excellent written and verbal communication skills, with a keen focus on articulating technical concepts clearly.
- Familiarity with software architecture, design patterns, and modern development workflows.
- Prior experience reviewing or analyzing code for correctness, efficiency, and clarity.
- Exposure to code documentation best practices and collaborative software projects.
- Interest in contributing to AI and machine learning advancements; direct AI experience is a plus but not required.
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