Role Overview
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 to enhance enterprise-level AI-driven coding solutions.
Responsibilities
- Working on AI model training initiatives by curating code examples, building solutions, and correcting code primarily in C++, Python, JavaScript, Java, Rust, and Go.
- Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
- Build agents that can verify the quality of the code and identify error patterns.
- Hypothesize on steps in the software engineering cycle and evaluate model capabilities on them.
- Design verification mechanisms that can automatically verify a solution to a software engineering task.
Requirements
- Several years of software engineering experience.
- 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.
- Must be based in the US, Canada, or WEU countries.
Skills
- C++
- Python
- JavaScript
- Software Architecture
- Full-stack Development