[Hiring] Rust 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.
• Making corrections primarily in Rust, as well as in Python, JavaScript (including ReactJS), C/C++, Java, 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.

What Does a Typical Day Look Like?

• Working on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Rust, along with Python, JavaScript (including ReactJS), C/C++, Java, and Go.
• Evaluating and refining AI-generated code to ensure that it is efficient, scalable, and reliable.
• Collaborating with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
• 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 US, Canada or WEU countries (Austria, Belgium, France, Germany, ...).

Evaluation Process

• The application process takes 15-30 minutes.
• Completion of an AI video interview is required.