AI Software Evaluator (Full-Stack, Contractor)

Turing Enterprises, Inc.

Washington (District of Columbia)

À distance

USD 83 000 - 124 000

Temps partiel

Il y a 4 jours
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Résumé du poste

Turing Enterprises, Inc. is seeking a Software Engineering Evaluator to create cutting-edge datasets for training large language models.

The role centers on Python across backend services, data pipelines, and ML infrastructure, with exposure to JavaScript, C/C++, Java, Rust, and Go. You will curate code examples, provide precise solutions, and correct AI-generated code while ensuring efficiency, scalability, and reliability.

Qualifications

  • 3+ years of software engineering experience.
  • Strong Python expertise with production-grade software development.
  • Experience building full-stack applications and deploying scalable 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.

Responsabilités

  • Curate code examples and provide precise solutions in Python.
  • Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
  • Collaborate with researchers and cross-functional teams to improve coding solutions.
  • Build agents and automated verification tools in Python.
  • Conceptualize steps in the software engineering cycle and assess model capabilities.
  • Design verification mechanisms for automated solution validation.

Connaissances

Python programming
Full-stack development
Software architecture
Code quality/review
Clear technical communication

Description du poste

Turing Enterprises, Inc. is seeking a Software Engineering Evaluator to create cutting-edge datasets for training large language models.

The role centers on Python across backend services, data pipelines, and ML infrastructure, with exposure to JavaScript, C/C++, Java, Rust, and Go. You will curate code examples, provide precise solutions, and correct AI-generated code while ensuring efficiency, scalability, and reliability.

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