Remote Senior Software Engineer

Turing; Denver (CO); Remote; USD 96,000 - 152,000; Part time

Job summary

Turing, based in San Francisco, CA, invites contractors to collaborate on AI-powered coding projects. The role focuses on evaluating AI-generated code for efficiency, scalability, and reliability, with cross-functional collaboration to improve AI-driven coding solutions.

The position requires 10–40 hours per week, is contractor-based with no medical leave, lasts one month with potential extensions, and requires availability for partial PST overlap from next week.

Qualifications

• 5+ years of software engineering experience, including 2+ years at a top-tier product company.
• Experience building full-stack applications and deploying scalable software.
• Strong understanding of software architecture, design, development, debugging, and code quality.

Responsibilities

• Evaluate and refine AI-generated code to ensure it is efficient, scalable, and reliable.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against performance benchmarks.
• Build agents that verify code quality and identify error patterns.
• Hypothesize on steps in the software engineering cycle and evaluate model capabilities on them.
• Design verification mechanisms that automatically verify a solution to a software engineering task.

Skills

Software engineering

Full-stack development

Software architecture

Code quality review

Excellent communication

Contractor engagement

Job description

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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.

Project Overview

• 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 that can verify the quality of the 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 (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research).


• Strong expertise in building full-stack applications and deploying scalable, production-grade 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 10hrs/week, up to 40hrs/week (partial PST overlap required)


• Type: Contractor (no medical/paid leave)


• Duration: 1 month (starting next week; potential extensions based on performance and fit)


• Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …)

Note: As part of assessments you will go through an AI video interview.