Software Engineer - Rust

Turing • Seattle, WA

19h

About The Position

Turing is hiring a Software Engineering evaluator to create datasets for training, benchmarking, and advancing large language models in collaboration with researchers. The work includes curating code examples, producing solutions, and correcting code primarily in Rust, as well as Python, JavaScript (including ReactJS), C/C++, Java, and Go. The evaluator will assess and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams on enterprise-level AI-driven coding solutions.

The role also involves building agents to verify code quality and identify error patterns; evaluating model capabilities across stages of the software engineering cycle, from prototyping and architecture/API design through implementation, launch, experimentation, monitoring, and maintenance; and designing mechanisms that automatically verify solutions to software engineering tasks.

This is a contractor engagement requiring at least 10 hours per week, with a maximum of 40 hours per week. The initial duration is one month, with possible extensions based on performance and fit. Candidates must be based in the US, Canada, or the listed Western European countries: Austria, Belgium, France, or Germany. The application process takes 15–30 minutes and requires an AI video interview.

Requirements

• At least 3 years of software engineering experience.
• Strong expertise 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 and review assessment.
• Excellent oral and written communication skills for providing clear, structured evaluation rationales.
• Must be based in the US, Canada, or Austria, Belgium, France, or Germany.
• Must complete an AI video interview as part of the application process.

Responsibilities

• Curate code examples, build solutions, and correct code for AI model training initiatives, primarily in Rust and also in Python, JavaScript (including ReactJS), C/C++, Java, 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 performance benchmarks.
• Build agents that verify code quality and identify error patterns.
• Evaluate model capabilities across software engineering stages, including prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, and operational maintenance.
• Design verification mechanisms that automatically verify solutions to software engineering tasks.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed