Job Description & How to Apply Below
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 modern 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.
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