Senior Rust Engineer — AI Data & Infrastructure
About this role
About the Role What if your systems programming expertise could directly shape the infrastructure behind some of the world's most advanced AI models? We're looking for a Senior Rust Engineer to build and optimize the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models. This is a fully remote contract role with serious technical depth. You'll be working on real production systems — not toy projects — alongside research and engineering teams at the frontier of AI development. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design, build, and optimize high-performance systems in Rust that power AI data pipelines and evaluation workflows - Develop backend services and tooling for large-scale data annotation, validation, and quality control - Improve reliability, performance, and memory safety across existing Rust codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-ready fixes - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - 5+ years of professional experience writing production-grade Rust - Strong systems programming foundation — you think carefully about performance, concurrency, and memory safety - Proven experience building backend services, developer tooling, or data pipelines - Clear, direct communicator — written and verbal — comfortable working across technical and research teams - Able to commit 20–40 hours per week with consistency and reliability Nice to Have - Prior experience with data annotation systems, data quality pipelines, or model evaluation infrastructure - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems design or developer tooling at scale - Exposure to Go, Python, or C++ in a systems context Why Join Us - Work directly with leading AI labs on real, production-grade infrastructure that matters - Fully remote — work from anywhere, on a schedule that fits your life - Freelance autonomy with the structure and focus of high-impact, technically challenging work - Contribute to systems that shape how the world's most advanced AI models are built and evaluated - Potential for ongoing engagement and expanded scope as projects grow
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