Senior Backend Engineer (Python/FastAPI) at Turing

Senior Backend Engineer (Python/FastAPI) – AI Evaluation | Contractor | Remote (US-based)

Turing is seeking an experienced Senior Backend Engineer to join its AI Evaluation team as a contractor. In this role, you will help shape the future of large language models by curating high-quality training data, evaluating AI-generated code, and collaborating with researchers at the frontier of artificial intelligence. This is a flexible engagement ideal for engineers with deep full-stack expertise who want meaningful impact in the AI space.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing accelerates frontier research through high-quality data, advanced training pipelines, and top AI researchers specializing in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents.

What You'll Do

• Curate code examples, build solutions, and correct code across Python, JavaScript (React, Node.js), C/C++, Java, Rust, and Go for AI model training initiatives.
• Evaluate and refine AI-generated code across backend and frontend contexts for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to benchmark and enhance AI-driven coding solutions.
• Build agents that verify code quality and identify error patterns across full-stack applications.
• Hypothesize on software engineering lifecycle stages — from prototyping and architecture design to production, launch, monitoring, and maintenance — and evaluate model capabilities across them.
• Design automated verification mechanisms to validate solutions to software engineering tasks.

Required Skills

• 3+ years of professional software engineering experience.
• Strong expertise in full-stack development using Python and JavaScript (React, Node.js).
• Proven experience deploying scalable, production-grade software with modern languages and tools.
• Deep understanding of software architecture, design, debugging, and code quality assessment.
• Excellent written and verbal communication skills for structured evaluation rationales.

Ideal Background

This role is well-suited for engineers with experience at frontier AI organizations such as OpenAI, NVIDIA, Databricks, Palantir, or Snowflake. Graduates from top CS programs (Stanford, MIT, CMU, UC Berkeley, Georgia Tech) are encouraged to apply — though exceptional skill and experience always take precedence over pedigree.

Engagement Details

• Type: Contractor (no medical/paid leave benefits)
• Commitment: Flexible — minimum 10 hrs/week, up to 40 hrs/week
• Duration: 1 month, with potential extensions based on performance
• Location: Must be based in the United States

Evaluation Process

• Application takes approximately 15–30 minutes.
• An AI video interview is required to complete the process.