Data Infrastructure Engineer (Rust) - High Performance Computing
About this role
About the Role What if your mastery of Rust could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior Rust Engineer to build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their most advanced models. This is a fully remote, flexible contract role for an elite systems engineer who knows Rust at a deep level — memory layout, SIMD, concurrency, and all. You'll work on real production systems at the frontier of AI development, collaborating with research and engineering teams doing genuinely important work. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design, build, and optimize high-performance Rust systems supporting large-scale AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for data annotation, validation, and quality control - Identify and eliminate bottlenecks through deep profiling, SIMD optimizations, and careful memory management - Improve reliability, performance, and safety across existing Rust codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Participate in synchronous design reviews and iterate quickly on system architecture decisions Who You Are - 5+ years of professional experience writing production-grade Rust - Deep expertise in data parallelism and concurrency patterns — you know how to maximize CPU saturation - Strong command of memory layout, SIMD optimizations, and heap allocation strategies to hunt down and fix performance bottlenecks - Native or fluent English speaker with clear written and verbal communication skills - Able to commit 20–40 hours per week consistently - Self-directed and comfortable working asynchronously in a remote engineering environment Nice to Have - Prior experience with data annotation pipelines, data quality systems, or evaluation infrastructure - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems architecture or developer tooling - Background working with or alongside AI research teams Why Join Us - Work on cutting-edge AI infrastructure projects alongside leading research labs - Fully remote and flexible — structure your work around your life - Freelance autonomy with the substance of high-impact, senior-level engineering work - Tackle genuinely hard systems problems that matter at scale - Potential for ongoing work and contract extension as new projects launch
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