AI Research & Systems Engineer - Code Evaluation

Turing

Austin (TX)

Remote

USD 96,000 - 165,000

Part time

7 days ago
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Job summary

Turing, based in San Francisco, seeks a Software Engineering evaluator in a flexible contractor role for 1 month. You will curate code examples across Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS) to train and benchmark large language models.

Ideal candidates have 3+ years in systems programming or backend, with strong code quality discipline and ability to explain evaluation rationales. Remote US-based engagement, 10–40 hours per week.

Qualifications

  • 3+ years of software engineering experience.
  • Strong expertise in systems programming, infrastructure, or backend development.
  • Experience building and deploying scalable production-grade software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review.
  • Excellent oral and written communication skills for clear evaluation rationales.

Responsibilities

  • Curate code examples across Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).
  • Evaluate and refine AI-generated code for efficiency, scalability and reliability.
  • Collaborate with researchers to enhance enterprise AI-driven coding solutions.
  • Build agents to verify quality of systems-level and infrastructure code and identify error patterns.
  • Hypothesize steps in the software engineering cycle and evaluate model capabilities.

Skills

System programming
Backend development
Python
C/C++
Rust
Go
Code review
Communication

Tools

ReactJS
JavaScript

Job description

Turing, based in San Francisco, seeks a Software Engineering evaluator in a flexible contractor role for 1 month. You will curate code examples across Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS) to train and benchmark large language models.

Ideal candidates have 3+ years in systems programming or backend, with strong code quality discipline and ability to explain evaluation rationales. Remote US-based engagement, 10–40 hours per week.

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