About the role
Senior Rust Engineer — AI Data Infrastructure 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: AlignerrType: Hourly ContractLocation: RemoteCommitment: 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 workflowsDevelop full-stack tooling and backend services for large-scale data annotation, validation, and quality controlIdentify and eliminate bottlenecks — from memory layout issues to concurrency inefficiencies — and implement scalable, lasting fixesImprove reliability, safety, and performance across existing Rust codebasesCollaborate closely with data, research, and engineering teams to support model training and evaluation at scaleParticipate 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 showcaseDeep expertise in data parallelism and concurrency patterns to maximize CPU saturationThorough understanding of memory layout, SIMD optimizations, and heap allocation minimization — you find and fix performance issues others missNative or fluent English speaker with clear, precise written and verbal communicationAble to commit 20–40 hours per week with consistency and professionalismSelf-directed and dependable — you deliver without hand-holding Nice to Have Prior experience with data annotation, data quality pipelines, or AI evaluation systemsFamiliarity with AI/ML workflows, model training pipelines, or benchmarking infrastructureExperience 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 projectsFully remote and async-friendly — work from wherever you do your best thinkingHigh-autonomy contract work with the depth and challenge of a senior engineering roleCollaborate with a technically sharp, mission-driven team pushing the frontier of AI infrastructureOngoing work and contract extension available as projects grow and new ones launch
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