Rust Software Engineer - Distributed Systems

Rust Software Engineer — Distributed Systems (AI Infrastructure)About The RoleWhat if your Rust expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a senior Rust engineer to build and optimize the distributed systems, data pipelines, and tooling that leading AI labs depend on — working on real production systems with real consequences.This is a fully remote, flexible contract role. If you're the kind of engineer who gets satisfaction from writing safe, performant, correct code at scale — and you want that work to matter — this is the role for you.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 20–40 hours/weekWhat You'll DoDesign, build, and optimize high-performance Rust systems supporting AI data pipelines and evaluation workflowsDevelop full-stack tooling and backend services for large-scale data annotation, validation, and quality controlImprove reliability, performance, and safety across existing Rust codebasesCollaborate with data, research, and engineering teams to support model training and evaluation workflowsIdentify bottlenecks and edge cases in distributed system behavior and implement scalable solutionsParticipate in synchronous design reviews to iterate on architecture and implementation decisionsWho You AreNative or fluent English speaker with clear written and verbal communication skills3–5+ years of professional experience writing production-grade RustStrong background in building distributed services using RPC frameworks, distributed state management, or consensus protocolsExperienced debugging complex concurrency issues — deadlocks, race conditions — using async instrumentation and tracing toolsAble to commit 20–40 hours per week on a consistent basisSelf-directed and reliable when working in a remote, async-first environmentNice to HavePrior experience with data annotation, data quality pipelines, or evaluation systemsFamiliarity with AI/ML workflows, model training, or benchmarking infrastructureExperience building distributed systems or developer tooling at scaleWhy Join UsWork on cutting-edge AI infrastructure projects alongside leading research labsFully remote and flexible — work when and where you do your best workFreelance autonomy with the substance of high-impact, production-grade engineeringContribute directly to systems that shape how next-generation AI models are built and evaluatedPotential for ongoing work and contract extension as new projects launch