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

Turing; Seattle (WA); Remote; USD 100,000 - 167,000; Full time

Job summary

Turing, based in San Francisco with frontier AI work, seeks a contractor software engineer to refine AI-generated code and build verification tools. The role emphasizes Python proficiency, full-stack experience, and strong design judgment. You will work 10–40 hours weekly from the United States.

The position lasts 1 month with potential extensions based on performance and fit. Applicants must be based in the United States.

Qualifications

• 3+ years of software engineering experience.
• Proficient in Python with production-grade experience.
• Experience building full-stack apps and deploying scalable software.
• Strong understanding of software architecture and code quality.
• Excellent written and oral communication for evaluation rationales.
• Contractor engagement with 10–40 hours per week.
• Location: United States-based.

Responsibilities

• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to improve AI-driven coding solutions against benchmarks.
• Build agents and automated verification tools in Python to verify code quality and detect error patterns.
• Hypothesize on software engineering lifecycle steps and assess model capabilities on them.
• Design verification mechanisms to automatically verify solutions to software tasks.

Skills

Python

Full-stack development

Software architecture

Code quality/review

Communication

Contractor engagement

Job description

Based in San Francisco, California, Turing is the world’s 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 worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.

Project Overview

What Does a Typical Day Look Like?

• 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.
• 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