Key skills
Software engineeringSystems programmingInfrastructure developmentBackend developmentPythonC/C++RustGoSoftware architectureSoftware designSoftware developmentDebuggingCode quality assessmentCode reviewJavaScriptJavaC++CAILarge Language ModelsOpenAISnowflakeDatabricksPrototypingCommunication
About this role
Turing is a leading research accelerator for frontier AI labs based in San Francisco, California. They are seeking a Remote Software Engineer to create datasets for training and evaluating large language models, collaborating with researchers and cross-functional teams to enhance AI-driven coding solutions.
Responsibilities:
- Create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers
- Curate code examples, provide precise solutions, and make corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)
- Evaluate and refine AI-generated code for efficiency, scalability, and reliability
- Work with cross-functional teams to enhance enterprise-level AI-driven coding solutions
- Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns
- Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) 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 (3 years or more)
- Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go
- Experience building 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
- Candidates must be based in the United States
- Engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems
- Graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions