Software Engineer – ($200/hr)

• Create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers.
• Curate code examples, provide precise solutions, and make corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
• Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• 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.

• 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.
• Candidates must be based in the United States

• Engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations.
• Graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions

RequiredAlso useful

Also listed: communication skills.

Project and contracting process: the hiring partner. Applications continue on the provider's website.