Remote Software Engineer ($300/hr)

Turing; United States; On-site; USD 83,000 - 152,000; Part time

Job summary

Turing, based in San Francisco, is seeking a contractor to refine AI-generated code and build production-grade tools. You will collaborate with cross-functional teams to deliver scalable, reliable software using Python.

We require 3+ years in software engineering, full‑stack capability, strong architecture skills, and clear written/oral communication. The engagement is 10–40 hours/week for 1 month, with possible extension, and candidates must be based in the United States.

Qualifications

• 3+ years of software engineering experience.
• Strong Python expertise with production-grade software experience.
• Experience building full-stack applications and deploying scalable software.
• Deep understanding of software architecture and code quality.
• Excellent written and verbal communication.

Responsibilities

• Evaluate and refine AI-generated code for efficiency and scalability.
• Collaborate with cross-functional teams to improve AI-driven coding solutions.
• Build Python agents and verification tools to assess code quality.
• Analyze steps in software engineering cycle and evaluate model capabilities.
• Design verification mechanisms to auto-verify solutions.

Skills

Software engineering

Python

Full-stack development

Software architecture

Communication skills

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 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:

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

Evaluation Process:

• The application process takes 15-30 minutes.
• Completion of an AI video interview is required.