Software Engineer - Rust

Turing • Austin, TX

19h

About The Position

As a Software Engineering evaluator, you will create datasets for training, benchmarking, and advancing large language models in collaboration with researchers. You will curate code examples, provide solutions, and correct code primarily in Rust, as well as Python, JavaScript (including ReactJS), C/C++, Java, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to improve enterprise-level AI-driven coding solutions. The work also involves building agents to verify code quality and identify error patterns, evaluating model capabilities across stages of the software engineering cycle, and designing mechanisms that automatically verify solutions to software engineering tasks.

This is a flexible contractor engagement requiring a minimum of 10 hours per week and allowing up to 40 hours per week. The engagement is for one month, with potential extensions based on performance and fit. Candidates must be based in the US, Canada, or the specified Western European countries: Austria, Belgium, France, or Germany. Contractors do not receive medical benefits or paid leave. 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 to provide clear, structured evaluation rationales.
• Must be based in the US, Canada, or Austria, Belgium, France, or Germany.
• Completion of an AI video interview is required.

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 improve AI-driven coding solutions against industry performance benchmarks.
• Build agents that verify code quality and identify error patterns.
• Hypothesize about and evaluate model capabilities across software engineering stages, including prototyping, architecture and API design, production implementation, launch, experiments, monitoring, and operational maintenance.
• Design verification mechanisms that can automatically verify solutions to software engineering tasks.

What This Job Offers

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