Remote Software Engineer ($300/hr)

Turing; New York (NY); On-site; USD 83,000 - 138,000; Part time

Job summary

Turing, based in San Francisco, is seeking a contractor to evaluate and refine AI-generated code, collaborate with cross-functional teams, and build verification tools in Python that ensure quality and reliability.

Ideal candidates have 3+ years of software engineering experience, deep Python expertise, and a track record in full-stack development and scalable systems. This role requires a US-based contractor, 10–40 hours per week for 1 month, with potential extensions based on performance.

Qualifications

• 3+ years of software engineering experience.
• Strong Python expertise with production-grade software skills.
• Experience building full-stack applications and deploying scalable software.
• Excellent written and verbal communication for evaluation rationales.
• Flexible engagement: 10–40 hours per week.

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.
• Anticipate steps in the software engineering cycle and assess model capabilities.
• Design verification mechanisms to automatically verify solutions to SE tasks.

Skills

Python

Full-stack development

Software architecture

Communication skills

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 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.