Full Stack Engineer
About The Position
Turing is hiring a Full Stack Engineer to work as a Software Engineering evaluator on projects that create datasets for training, benchmarking, and advancing large language models. The role involves collaborating closely with researchers to curate code examples, provide precise solutions, make corrections, and evaluate and refine AI-generated code for efficiency, scalability, and reliability. The primary focus is Python across backend services, data pipelines, and ML infrastructure, with additional work in JavaScript, including ReactJS, C/C++, Java, Rust, and Go. The position also involves working with cross-functional teams to improve enterprise-level AI-driven coding solutions and evaluating model capabilities across stages of the software engineering cycle. This is a flexible contractor engagement requiring a minimum of 10 hours per week and allowing up to 40 hours per week. The stated duration is one month, with possible extensions based on performance and fit. Candidates must be based in the United States. Medical and paid leave are not provided. The application process takes 15–30 minutes and requires an AI video interview.
Requirements
- At least 3 years of software engineering experience.
- Strong expertise in Python, including frameworks, tooling, and best practices for 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 and review assessment.
- Excellent oral and written communication skills for providing clear, structured evaluation rationales.
- Must be based in the United States.
Nice To Haves
- Experience building production systems at Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations.
- Graduation from a leading computer science program such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, or a comparable institution; exceptional experience and skill take precedence over pedigree.
- Experience with JavaScript, including ReactJS, C/C++, Java, Rust, and Go.
Responsibilities
- Curate code examples, develop precise solutions, and correct code for AI model training initiatives.
- Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
- Collaborate with cross-functional teams to improve AI-driven coding solutions against industry performance benchmarks.
- Build Python agents and automated verification tools to assess code quality and identify error patterns.
- Hypothesize about steps in the software engineering cycle and evaluate model capabilities across prototyping, architecture and API design, production implementation, launch, experiments, monitoring, and operational maintenance.
- Design mechanisms to automatically verify solutions to software engineering tasks.
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
