Lead Systems Engineer (Rust) - AI Platform

* Design, build, and optimize high-performance systems in Rust that power AI data pipelines and evaluation workflows at scale * Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control * Own and improve reliability, performance, and safety across existing Rust codebases * Identify bottlenecks, edge cases, and failure modes in complex systems — then implement scalable, elegant fixes * Collaborate closely with data, research, and engineering teams to accelerate model training and evaluation * Lead synchronous system design reviews and drive architectural decisions with clarity and confidence

Who You Are

* Native or fluent English speaker with strong written and verbal communication skills * 5+ years of professional experience writing production-grade Rust, with a focus on system architecture and API design * Deep expertise in FFI (Foreign Function Interface) and unsafe Rust, with a strong understanding of how to manage boundaries between Rust and other languages safely * Advanced command of asynchronous runtimes and multi-threaded environments — you understand concurrency deeply and write code that proves it * Confident leading system design reviews and articulating complex technical tradeoffs to cross-functional teams * Able to commit 20–40 hours per week with reliability and professionalism

Nice to Have

* Prior experience with data annotation, data quality pipelines, or evaluation systems * Familiarity with AI/ML workflows, model training, or benchmarking infrastructure * Experience building or maintaining distributed systems or developer tooling * Exposure to working with research teams or in fast-moving AI environments

Why Join Us

* Work on real, high-impact production systems alongside some of the best AI research teams in the world * Fully remote and flexible — structure your work around your life, not the other way around * Freelance autonomy with the depth and significance of meaningful engineering work * Get direct exposure to next-generation AI infrastructure at the frontier of the field * Potential for ongoing engagement and expanded scope as new projects launch