Remote Software Engineer (Go, Python, TS) for AI Training

YO AI Labs

San Francisco (CA)

Remote

USD 96,000 - 193,000

Part time

14 days+
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Job summary

YO AI Labs is seeking a Software Engineer to help advance AI-driven code tasks in a remote contract role. You will work across Go, Python, and TypeScript to create realistic development scenarios for training AI models. The position emphasizes clear communication and rigorous code reviews.

The role involves generating samples, tests, and documentation while identifying pitfalls and best practices to improve model outputs. Remote collaboration is expected with flexible scheduling.

Qualifications

  • Expert-level proficiency in Go with hands-on project experience.
  • Strong Python and TypeScript abilities; clean, idiomatic code.
  • Excellent written and verbal communication skills.
  • Familiarity with modern development workflows and design patterns.
  • Experience reviewing code for correctness and performance.

Responsibilities

  • 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.

Skills

Go
Python
TypeScript
Technical communication
Code review

Tools

Git
CI/CD

Job description

YO AI Labs is seeking a Software Engineer to help advance AI-driven code tasks in a remote contract role. You will work across Go, Python, and TypeScript to create realistic development scenarios for training AI models. The position emphasizes clear communication and rigorous code reviews.

The role involves generating samples, tests, and documentation while identifying pitfalls and best practices to improve model outputs. Remote collaboration is expected with flexible scheduling.

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