Data Infrastructure Engineer (Rust) - High Performance Computing
About this role
About the Role What if your expertise in Rust could directly shape the infrastructure behind the world's most advanced AI systems? We're looking for a Senior Rust Engineer to design and build high-performance data pipelines, annotation tooling, and evaluation systems that power cutting-edge AI research and production workflows. This is a fully remote contract role working alongside leading AI labs on real, high-impact engineering challenges — not toy projects. If you live and breathe Rust and care deeply about performance, safety, and correctness, this is the work you've been waiting for. - 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 supporting large-scale AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale - Identify and eliminate bottlenecks — squeezing every bit of performance from memory layout, SIMD optimizations, and concurrency patterns - Improve reliability, correctness, and safety across existing production Rust codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - 5+ years of professional experience writing production-grade Rust - Deep expertise in data parallelism and concurrency patterns to maximize CPU saturation - Mastery of memory layout, SIMD optimizations, and minimizing heap allocations to systematically identify and resolve performance bottlenecks - Native or fluent English speaker with clear written and verbal communication skills - Able to commit reliably to 20–40 hours per week - Self-directed and comfortable working asynchronously across a distributed team 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 distributed systems or developer tooling - Exposure to working with or alongside AI research teams Why Join Us - Work on real production systems used by leading AI research labs — your code ships and matters - Fully remote and flexible — structure your hours around your life - Collaborate with world-class engineers and researchers on genuinely hard technical problems - Freelance autonomy with the substance and impact of a high-stakes engineering role - Potential for ongoing work and contract extension as projects scale and evolve
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