Java Software Engineer for AI Data & Evaluation

Turing; San Francisco (CA); On-site; USD 83,000 - 165,000; Full time

Job summary

Turing, based in San Francisco, seeks a Software Engineering evaluator to create datasets for training and benchmarking large language models. The role focuses on curating code examples and solving in Java, Python, JavaScript (ReactJS), C/C++, Rust, and Go, while evaluating AI-generated code for efficiency and reliability.

Collaborate with researchers and cross-functional teams to enhance AI-driven coding solutions and build verification mechanisms for software tasks.

Qualifications

• Several years of software engineering experience (3 years or more).
• Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools.
• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
• Excellent oral and written communication skills for clear, structured evaluation rationales.

Responsibilities

• Curate code examples and fix solutions for training datasets, primarily in Java and other languages.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
• Build agents that verify code quality and identify error patterns.
• Hypothesize steps in the software engineering cycle and evaluate model capabilities.

Skills

Software engineering

Full-stack development

Code quality & review

Communication skills

Tools

Java

Python

ReactJS

Go

Job description

Turing, based in San Francisco, seeks a Software Engineering evaluator to create datasets for training and benchmarking large language models. The role focuses on curating code examples and solving in Java, Python, JavaScript (ReactJS), C/C++, Rust, and Go, while evaluating AI-generated code for efficiency and reliability.

Collaborate with researchers and cross-functional teams to enhance AI-driven coding solutions and build verification mechanisms for software tasks.