Senior Software Developer

Role Overview:

Turing is seeking experienced software engineers to help design and validate real-world coding tasks that push the limits of today's large language models. You'll work hands-on with public GitHub repositories — standing up environments, extending test coverage, triaging issues, and building reproducible evaluation tasks that challenge model reasoning and execution.

This is a fully remote, flexible opportunity — work from anywhere, on your own schedule — while earning up to $100/hr.

What You'll Do:

• Identify and triage issues in high-quality open-source repositories.
• Stand up development environments (including Docker) and run/modify projects locally.
• Assess and extend unit-test coverage to ensure reliable, verifiable benchmarks.
• Design software engineering tasks from real repository histories for AI training and evaluation.
• Optionally lead junior engineers on validation and repo triage efforts.

What We're Looking For:

• Proficiency in at least one major language: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby.
• Hands-on experience with Git, Docker, CI pipelines, and navigating complex codebases.
• Comfort contributing to and evaluating open-source repositories.
• Strong debugging, problem-solving, and software design instincts.
• Bonus: prior experience with LLM evaluation, developer tools, or agents.
• Excellent English communication skills for precise technical feedback.

Why You'll Love This Role:

• Remote & Flexible → Work from anywhere, at your own pace.
• Competitive Pay → Earn up to $100/hr.
• Challenging Work → Tackle complex OSS repos that stretch AI capabilities.
• Growth Potential → Lead efforts and collaborate closely with top AI researchers.
• Impact → Help define how next-gen AI models are benchmarked and trained.

About Turing:

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.