Software Engineer - Java

Turing•Austin, TX

3h•Remote

About The Position

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections primarily in Java, as well as in Python, JavaScript (including ReactJS), C/C++, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

Requirements

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.
Candidates must be based out of US, Canada or WEU countries (Austria, Belgium, France, Germany, ...).

Responsibilities

Create cutting-edge datasets for training, benchmarking, and advancing large language models.
Curate code examples, provide precise solutions, and make corrections primarily in Java, as well as in Python, JavaScript (including ReactJS), C/C++, Rust, and Go.
Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
Work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
Build agents that can verify the quality of the code and identify error patterns.
Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
Design verification mechanisms that can automatically verify a solution to a software engineering task.