Remote Software Developer – AI Research & Evaluation

turing; United States; Remote; USD 55,000 - 110,000; Full time

Job summary

Turing, based in San Francisco, is seeking a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models. You will curate code examples and provide precise solutions in Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS), focusing on systems-level code and infrastructure.

You will evaluate AI-generated code for efficiency, scalability, and reliability, collaborating with researchers and cross-functional teams to enhance AI-driven coding

Qualifications

• 3+ years of software engineering experience.
• Strong systems programming or backend development background.
• Experience with Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS).
• Proven ability to build scalable production-grade software.
• Excellent communication for evaluation rationale.

Responsibilities

• Curate code examples and build solutions for AI model training.
• Evaluate and refine AI-generated code focusing on performance and reliability.
• Collaborate with researchers and cross-functional teams.
• Design verification mechanisms for software engineering tasks.
• Contribute to enterprise-level AI-driven coding solutions.

Skills

Software engineering

Systems programming

Back-end development

Python

C/C++

Rust

Go

Java

JavaScript/React

Code quality

Tools

Git

CI/CD

Docker

Kubernetes

Job description

About Us:

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 shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. 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:

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?

• Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).


• Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability.


• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.


• Build agents that can verify the quality of systems-level and infrastructure 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 systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go.


• Experience building 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.

Engagement Details:

• 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.