AI Data & Code Evaluator - Full-Stack Engineer (Contract)

Turing Enterprises, Inc.

Fort Worth (TX)

On-site

USD 83,000 - 124,000

Part time

2 days ago
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Job summary

Turing Enterprises, Inc. in the United States seeks a Software Engineering evaluator to create cutting‑edge datasets for training and benchmarking large language models.

You will curate code examples and precise solutions, focusing on Python across backend services, data pipelines, and ML infrastructure, with additional work in JavaScript, C/C++, Java, Rust, and Go. You will evaluate AI-generated code for efficiency, scalability, and reliability, collaborating with researchers and

Qualifications

  • 3+ years of software engineering experience.
  • Strong expertise in Python with production-grade software skills.
  • Experience building full-stack applications and deploying scalable software.
  • Deep understanding of software architecture, design, and debugging.
  • Excellent oral and written communication skills for clear evaluation explanations.

Responsibilities

  • Curate code examples and solutions for AI model training and benchmarking.
  • Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
  • Collaborate with cross-functional teams to improve AI-driven coding solutions against performance benchmarks.
  • Build Python-based verification tools to assess code quality and error patterns.
  • Hypothesize steps in the software engineering lifecycle and evaluate model capabilities.

Skills

Python
Full-stack development
Software architecture
Code quality & review
Communication skills

Job description

Turing Enterprises, Inc. in the United States seeks a Software Engineering evaluator to create cutting‑edge datasets for training and benchmarking large language models.

You will curate code examples and precise solutions, focusing on Python across backend services, data pipelines, and ML infrastructure, with additional work in JavaScript, C/C++, Java, Rust, and Go. You will evaluate AI-generated code for efficiency, scalability, and reliability, collaborating with researchers and

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