Use Python and full-stack engineering expertise remotely to evaluate code for Turing’s large language model training initiatives. As a Software Engineering evaluator, you will create datasets, provide precise solutions, and correct code for AI research. The work emphasizes Python across backend services, data pipelines, and machine learning infrastructure. You will also work with JavaScript, ReactJS, C/C++, Java, Rust, and Go while assessing production-grade software quality. Key Responsibilities:
Curate code examples for training and benchmarking language models Evaluate AI-generated code for efficiency, scalability, and reliability Build Python agents and automated verification tools Design mechanisms that verify software engineering solutions automatically Collaborate with cross-functional teams on AI-driven coding solutions Requirements:
Three or more years of software engineering experience Strong Python expertise, frameworks, tooling, and best practices Full-stack application development and scalable software deployment experience Deep software architecture, debugging, and code quality understanding Clear oral and written communication for evaluation rationales Apply full-stack engineering, Python, and code evaluation expertise to advance reliable AI-driven software systems with Turing.
#J-18808-Ljbffr
Remote Python Full Stack Engineer in Toronto employer: Turing
Turing is an exceptional employer for those looking to thrive in the AI landscape, offering a fully remote work environment that fosters innovation and collaboration. Employees have the opportunity to engage with cutting-edge AI projects while enjoying flexible hours and the potential for contract extensions based on performance. With a strong emphasis on professional growth and a supportive culture, Turing empowers its team members to enhance their skills and contribute meaningfully to the future of technology.
