[Hiring] Java Developer @Turing

Role Description

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 and providing precise solutions 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.
• Working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
• Building agents that can verify the quality of the code and identify error patterns.
• Hypothesizing on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluating model capabilities on them.
• Designing verification mechanisms that can automatically verify a solution to a software engineering task.

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.

Requirements

• Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
• Type: Contractor (no medical/paid leave).
• Duration: 1 month (potential extensions based on performance and fit).
• Location: Candidates must be based out of the US, Canada, or WEU countries (Austria, Belgium, France, Germany, ...).

Company Description

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:

• 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.
• 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.