Senior JavaScript/React Engineer – AI Training (US-based)

What You'll Do8

• Curate code examples and develop solutions in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) for AI training datasets.
• Assess and enhance AI-generated code with a focus on systems-level correctness, performance, and reliability.
• Partner with cross-functional teams to improve AI-driven coding solutions against industry performance benchmarks.
• Build agents that automatically verify the quality of systems-level and infrastructure code and detect error patterns.
• Formulate hypotheses about stages of the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and test model capabilities on them.
• Design verification mechanisms that can automatically validate solutions to software engineering tasks.
• Provide precise, structured rationales for code evaluations and corrections.
• Refine datasets to ensure they meet the quality standards required by frontier AI research.

Requirements6

• At least 3 years of software engineering experience.
• Strong expertise in systems programming, infrastructure, or backend development using languages such as Python, C/C++, Rust, and Go.
• Experience building and deploying scalable, production-grade software with modern languages and tools.
• Deep understanding of software architecture, design, development, debugging, and code quality assessment.
• Excellent oral and written communication skills, with the ability to produce clear, structured evaluation rationales.
• Must be based in the United States.

Preferred Qualifications2

• Experience at frontier AI companies such as OpenAI, NVIDIA, Databricks, Palantir, or Snowflake.
• Graduation from leading programs like Harvard, Columbia, Princeton, Yale, or University of Pennsylvania.

Who Should Apply

The role suits senior engineers with at least 3 years of experience in systems programming or backend development, particularly those fluent in Python, C/C++, Rust, Go, and JavaScript. Candidates who have worked at frontier AI labs or on performance-critical infrastructure will thrive here. If you enjoy dissecting code quality and building automated verification tools, this is for you.