Evaluate AI-generated software with Python, JavaScript, and full-stack expertise for Turing’s frontier AI research initiatives. This contractor engagement requires partial PST overlap.

As a Software Engineering evaluator, you will create datasets for training and benchmarking large language models with researchers. You will curate code, provide precise solutions, correct implementations, and assess AI-generated software. The work spans architecture, development, debugging, and code quality across contemporary languages and tools.

Key Responsibilities:

- Curate code examples for AI model training initiatives
- Correct Python, JavaScript, C/C++, Java, Rust, and Go code
- Evaluate AI-generated code for efficiency and reliability
- Build agents identifying code quality and error patterns




- Design automated verification mechanisms for software solutions

Requirements:

- Three or more years of software engineering experience
- Expertise building full-stack, production-grade scalable applications
- Understanding of architecture, design, development, debugging, and code review
- Excellent oral and written communication for evaluation rationales
- Residence in the United States, Canada, or specified WEU countries

Apply software architecture, full-stack development, and code evaluation expertise to advance Turing’s AI-driven coding solutions.

📌 Software Engineering AI Evaluator (Toronto)
🏢 TURING ENTERPRISES
📍 Toronto