Remote Backend Engineer — Python, FastAPI, & Scalable AI

Turing Enterprises, Inc.; Los Angeles (CA); Remote; USD 83,000 - 152,000; Part time

Job summary

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

You will curate code examples and provide precise solutions, mainly in Python, across backend services and ML infrastructure with additional work in ReactJS, C/C++, Java, Rust, and Go. You will evaluate AI-generated code for efficiency, scalability, and reliability while collaborating with researchers and cross-functional teams to enhance

Qualifications

• 3+ years of software engineering experience.
• Strong Python expertise with production-grade software knowledge.
• Experience building full-stack applications and deploying scalable 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 samples and build solutions in Python.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams on AI coding solutions.
• Build Python-based verification tools for code quality and error-pattern detection.
• Hypothesize on software engineering cycle steps and evaluate model capabilities.
• Design automated verification mechanisms for software tasks.

Skills

Python

Software engineering

Full-stack development

Code-quality review

Communication skills

Tools

ReactJS

C/C++

Java

Go

Rust

Job description

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

You will curate code examples and provide precise solutions, mainly in Python, across backend services and ML infrastructure with additional work in ReactJS, C/C++, Java, Rust, and Go. You will evaluate AI-generated code for efficiency, scalability, and reliability while collaborating with researchers and cross-functional teams to enhance