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 for enterprises deploying advanced AI systems. The role focuses on evaluating software engineering capabilities for AI model training by curating code, developing solutions, refining AI-generated code, and building automated verification tools. It also involves collaborating with researchers and 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
- Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week
- 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, minimum 10 hrs/week, up to 40 hrs/week
- Potential extensions based on performance and fit
Company Overview