Contract Java Software Engineer for AI Data & Models

Turing; Austin (TX); On-site; USD 55,000 - 83,000; Full time

Job summary

Turing is seeking a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models. You will curate code examples and solutions in Java and other languages, evaluate AI-generated code for efficiency and scalability, and work with researchers to advance enterprise-level AI coding solutions.

The role emphasizes building verification mechanisms, hypothesizing software engineering steps, and collaborating with cross-functional teams to ensure

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 for AI model training and provide precise solutions across Java, Python, JavaScript (ReactJS), C/C++, Rust and Go.
• Evaluate and refine AI-generated code to ensure it is efficient, scalable, and reliable.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry benchmarks.
• Build agents that verify code quality and identify error patterns.
• Hypothesize steps in the software engineering cycle and evaluate model capabilities on them.
• Design verification mechanisms that automatically verify solutions to software tasks.

Skills

Software engineering

Full-stack development

Code quality/review

Communication skills

Tools

Java

Python

JavaScript

ReactJS

C/C++

Rust

Go

Job description

Turing is seeking a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models. You will curate code examples and solutions in Java and other languages, evaluate AI-generated code for efficiency and scalability, and work with researchers to advance enterprise-level AI coding solutions.

The role emphasizes building verification mechanisms, hypothesizing software engineering steps, and collaborating with cross-functional teams to ensure