Remote Backend Engineer (Python/FastAPI)

Turing • Seattle, WA

1d • Remote

About The Position

Turing is seeking a Backend Engineer to support AI model training and evaluation initiatives. The work involves creating datasets to train, benchmark, and advance large language models in collaboration with researchers. The primary focus is Python for backend services, data pipelines, and ML infrastructure, with additional work involving JavaScript (including ReactJS), C/C++, Java, Rust, and Go.

The role includes curating code examples, providing solutions and corrections, evaluating and refining AI-generated code for efficiency, scalability, and reliability, and collaborating with cross-functional teams on enterprise AI coding solutions. It also involves building Python agents and automated verification tools, assessing model capabilities across stages of the software engineering lifecycle, and designing mechanisms to automatically verify solutions to software engineering tasks.

This is a flexible contractor engagement of 10 to 40 hours per week, initially lasting one month with possible extensions based on performance and fit. Candidates must be based in the United States. 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 producing clear, structured evaluation rationales.
• Must be based in the United States.
• Completion of an AI video interview is required.

Nice To Haves

• Experience building production systems at a high-scale engineering organization such as Google, Microsoft, Apple, Amazon, or Meta.
• Graduation from a top computer science program such as Stanford, MIT, Carnegie Mellon, UC Berkeley, or Georgia Tech, or a comparable institution.

Responsibilities

• Curate code examples, build solutions, and correct code for AI model training initiatives, primarily in Python and also in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code to ensure it is efficient, scalable, and reliable.
• 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.
• Evaluate model capabilities across software engineering stages, including prototyping, architecture and API design, production implementation, launch, experiments, monitoring, and operational maintenance.
• Design verification mechanisms that can automatically verify solutions to software engineering tasks.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed