Rust Software Engineer - Distributed Systems

Senior Rust Engineer — AI Data & Infrastructure (AI Training)What if your Rust expertise could directly shape the infrastructure powering the world's most advanced AI models? We're looking for a Senior Rust Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on every day. This is a fully remote, flexible contract role for an experienced engineer who lives and breathes Rust and wants to work on genuinely high-impact, production-grade systems — not toy problems.About The RoleOrganization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 20–40 hours/weekWhat You'll DoDesign, build, and optimize high-performance distributed systems in Rust supporting AI data pipelines and evaluation workflowsDevelop full-stack tooling and backend services for large-scale data annotation, validation, and quality controlHunt down and resolve complex concurrency issues — deadlocks, race conditions, and subtle async bugsImprove reliability, performance, and safety across existing Rust codebasesCollaborate closely with data, research, and engineering teams to support model training and evaluation workflowsIdentify bottlenecks and edge cases in system behavior and implement scalable, production-ready fixesParticipate in synchronous design reviews and iterate on architecture decisions with sharp peersWho You Are3–5+ years of professional experience writing production Rust — this is a must, not a nice-to-haveStrong background building distributed services using RPC frameworks, distributed state, or consensus protocolsProven ability to debug complex concurrency issues using async instrumentation and tracing toolsNative or fluent English speaker with clear written and verbal communication skillsSelf-directed and reliable — you can commit to 20–40 hours per week and deliver without hand-holdingYou care about code quality, correctness, and safety as much as you care about shippingNice to HavePrior experience with data annotation systems, data quality pipelines, or AI evaluation infrastructureFamiliarity with AI/ML workflows, model training, or benchmarking pipelinesExperience with developer tooling, systems programming, or high-throughput data infrastructureWhy Join UsWork on real production systems powering cutting-edge AI research alongside leading AI labsFully remote and async-friendly — work from wherever you do your best thinkingMeaningful, technically interesting work — no CRUD apps, no filler projectsFreelance autonomy with the structure of a focused, collaborative engineering teamPotential for ongoing engagement and expanded scope as new projects launchJ-18808-Ljbffr Alignerr