Remote Software Developer – AI Research & Evaluation

turing; San Francisco (CA); Remote; USD 69,000 - 138,000; Part time

Job summary

Turing, based in San Francisco, is hiring a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models. You will curate code snippets across Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS), and evaluate AI-generated code for efficiency and reliability.

You will work with researchers and engineers to enhance enterprise AI-driven coding solutions, focusing on systems-level correctness and performance while maintaining clear evaluation

Qualifications

• 3+ years of software engineering experience.
• Strong systems/backend expertise.
• Experience with Python, C/C++, Rust, Go.
• Ability to evaluate AI-generated code and provide precise feedback.

Responsibilities

• Curate, build, and correct code examples across Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS).
• Evaluate AI-generated code for correctness, performance, and reliability.
• Collaborate with researchers and engineers to improve AI-driven coding solutions.
• Develop verification mechanisms for software engineering tasks and API designs.
• Support dataset creation for training and benchmarking models.

Skills

Software engineering

Systems programming

Backend development

Python

C/C++

Rust

Go

JavaScript

ReactJS

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.