Data Infrastructure Engineer (Rust) - High Performance Computing
About this role
About the Role What if your mastery of Rust could directly shape the infrastructure that powers the world's most advanced AI systems? We're looking for a Senior Rust Full-Stack Engineer to build, optimize, and scale the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — every single day. This is a fully remote contract role for engineers who think deeply about performance, care about correctness, and want their work to matter at scale. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design and build high-performance, production-grade systems in Rust that underpin AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control - Identify and eliminate bottlenecks — from memory layout issues to concurrency inefficiencies — and implement scalable, lasting fixes - Improve reliability, safety, and performance across existing Rust codebases - Collaborate closely with data, research, and engineering teams to support model training and evaluation at scale - Participate in synchronous design reviews and iterate on system architecture with sharp, opinionated engineers Who You Are - 5+ years of professional experience writing production Rust — this is not a learning opportunity, it's a mastery showcase - Deep expertise in data parallelism and concurrency patterns to maximize CPU saturation - Thorough understanding of memory layout, SIMD optimizations, and heap allocation minimization — you find and fix performance issues others miss - Native or fluent English speaker with clear, precise written and verbal communication - Able to commit 20–40 hours per week with consistency and professionalism - Self-directed and dependable — you deliver without hand-holding Nice to Have - Prior experience with data annotation, data quality pipelines, or AI evaluation systems - Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure - Experience with distributed systems or developer tooling at scale Why Join Us - Work directly with leading AI research labs on systems that matter in production — not toy projects - Fully remote and async-friendly — work from wherever you do your best thinking - High-autonomy contract work with the depth and challenge of a senior engineering role - Collaborate with a technically sharp, mission-driven team pushing the frontier of AI infrastructure - Ongoing work and contract extension available as projects grow and new ones launch
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