Remote AI Software Engineer (Go & Full‑Stack)

turing

United States

Remote

USD 14,000 - 55,000

Part time

7 days ago
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Job summary

Turing, based in San Francisco, invites software engineers to join as a Software Engineering evaluator contractor to curate code examples and provide precise solutions across Go, Python, JavaScript, C/C++, Java, and Rust. You will help train and benchmark AI models by reviewing AI-generated code for efficiency, scalability, and reliability.

This engagement runs about 10 to 40 hours per week for one month with potential extensions; candidates must be based in the US, Canada or WEU.

Qualifications

  • Several years of software engineering experience (3 years or more).
  • Strong expertise in building full-stack applications and deploying scalable, production-grade software.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Responsibilities

  • Curate code examples and build solutions — primarily in Go — with Python, JavaScript/ReactJS, C/C++, Java and Rust.
  • Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against benchmarks.
  • Build agents that verify code quality and identify error patterns.
  • Hypothesize on software engineering stages (prototype, architecture, API, production) and evaluate model capabilities.
  • Design verification mechanisms that automatically verify solutions to software engineering tasks.

Skills

Go
Python
JavaScript
ReactJS
C/C++
Java
Rust
Full-stack dev

Job description

Turing, based in San Francisco, invites software engineers to join as a Software Engineering evaluator contractor to curate code examples and provide precise solutions across Go, Python, JavaScript, C/C++, Java, and Rust. You will help train and benchmark AI models by reviewing AI-generated code for efficiency, scalability, and reliability.

This engagement runs about 10 to 40 hours per week for one month with potential extensions; candidates must be based in the US, Canada or WEU.

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