Backend Engineer (PythonFastAPI)

About Us:

Based in San Francisco California Turing is the worlds leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first by accelerating frontier research with high-quality data advanced training pipelines plus top AI researchers who specialize in software engineering logical reasoning STEM multilinguality multimodality and agents; and second by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably deliver measurable impact and drive lasting results on the P&L.

Ideal Background:

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.

Project Overview:

As a Software Engineering evaluator you will create cutting-edge datasets for training benchmarking and advancing large language models collaborating closely with researchers. This includes curating code examples providing precise solutions and making corrections with a primary focus on Python across backend services data pipelines and ML infrastructure alongside JavaScript (including ReactJS) C/C Java Rust and Go. You will evaluate and refine AI-generated code for efficiency scalability and reliability and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like

• 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.

Required 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.

Engagement Details:

• Commitment: flexible engagement minimum 10 hrs/week up to 40 hrs/week.
• Type: Contractor (no medical/paid leave).
• Duration: 1 month (potential extensions based on performance and fit).
• Location: Candidates must be based in the United States.

Evaluation Process:

• The application process takes 1530 minutes.
• Completion of an AI video interview is required.

Required Experience:

IC