Note: The job is a remote job and is open to candidates in USA. Turing is a research accelerator for frontier AI labs and a partner to enterprises deploying advanced AI systems. The Senior Backend Engineer will create and evaluate datasets for training, benchmarking, and advancing large language models, primarily using Python across backend services, data pipelines, and ML infrastructure. The role involves refining AI-generated code, building verification tools, and collaborating with cross-functional teams to improve AI-driven coding solutions.
Responsibilities
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, 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 and automated verification tools in Python that can verify the quality of 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
Skills
- • Several years of software engineering experience (3 years or more)
- • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software
- • Experience building full-stack applications and deploying scalable 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
- • Location: Candidates must be based in the United States
- This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations
- We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree
Benefits
- Flexible engagement, with a minimum of 10 hours per week and up to 40 hours per week
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