AI Code Evaluator for Frontier Models (Contractor)

Turing

Austin (TX)

On-site

USD 83,000 - 138,000

Full time

5 days ago
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Job summary

Turing seeks a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models, focusing on Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS). You will work with researchers to improve enterprise AI-driven coding solutions.

The role emphasizes evaluating AI-generated code for efficiency and reliability, building verification mechanisms, and collaborating with cross-functional teams. This is a contractor role based in the United States.

Qualifications

  • Several years of software engineering experience (3+ years).
  • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go.
  • Experience building 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, provide precise solutions, and correct code in Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS).
  • Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents that verify the quality of systems-level and infrastructure code and identify error patterns.
  • Hypothesize on steps in the software engineering cycle and evaluate model capabilities on them.

Skills

Python
C/C++
Rust
Go
Backend development
Systems programming
Communication skills

Tools

ReactJS

Job description

Turing seeks a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models, focusing on Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS). You will work with researchers to improve enterprise AI-driven coding solutions.

The role emphasizes evaluating AI-generated code for efficiency and reliability, building verification mechanisms, and collaborating with cross-functional teams. This is a contractor role based in the United States.

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