Java Software Engineer for AI Code Evaluation (Contract)

Turing

Chicago (IL)

On-site

USD 28,000 - 55,000

Part time

5 days ago
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Job summary

Turing, a leading AI research accelerator, seeks a Software Engineering Evaluator to create cutting-edge datasets for training and benchmarking large language models. You will curate code examples, provide precise solutions, and correct code primarily in Java, with Python, JavaScript/ReactJS, C/C++, Rust, and Go as support.

You will evaluate AI-generated code for efficiency, scalability, and reliability, and work with researchers and engineers to enhance enterprise-level AI-driven coding

Qualifications

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

Responsibilities

  • Curate code examples and solutions for training datasets.
  • Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
  • Collaborate with cross-functional teams to improve AI-driven coding solutions.
  • Build agents that verify quality and identify error patterns in code.
  • Hypothesize steps in the software engineering cycle and evaluate model capabilities.
  • Design verification mechanisms for automated validation of solutions.

Skills

Full-stack development
Software architecture
Code quality & review
Clear communication

Tools

Java
Python
JavaScript/ReactJS
C/C++
Rust
Go

Job description

Turing, a leading AI research accelerator, seeks a Software Engineering Evaluator to create cutting-edge datasets for training and benchmarking large language models. You will curate code examples, provide precise solutions, and correct code primarily in Java, with Python, JavaScript/ReactJS, C/C++, Rust, and Go as support.

You will evaluate AI-generated code for efficiency, scalability, and reliability, and work with researchers and engineers to enhance enterprise-level AI-driven coding

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