Python Software Engineer for AI & ML Infrastructure

Turing; San Francisco (CA); On-site; USD 83,000 - 138,000; Full time

Job summary

Turing in San Francisco 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 AI-generated code across Python, JavaScript, C/C++, Java, Rust, and Go in backend, data pipelines, and ML infrastructure.

You will work with researchers and cross-functional teams to evaluate model capabilities, improve enterprise AI-driven coding solutions, and build verification

Qualifications

• 3+ years of software engineering experience.
• Strong expertise in Python 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 evaluation rationales.

Responsibilities

• Curate code examples and build solutions primarily in Python.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with researchers and cross-functional teams to improve AI-driven coding solutions.
• Build Python-based verification tools to verify code quality and identify error patterns.
• Hypothesize on software engineering steps (prototyping, architecture, API design, production) and evaluate model capabilities.
• Design verification mechanisms that automatically verify software tasks.

Skills

Python

Full‑stack

Software architecture

Code quality

Communication

Tools

ReactJS

C/C++

Java

Go

Job description

Turing in San Francisco 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 AI-generated code across Python, JavaScript, C/C++, Java, Rust, and Go in backend, data pipelines, and ML infrastructure.

You will work with researchers and cross-functional teams to evaluate model capabilities, improve enterprise AI-driven coding solutions, and build verification