Rust Software Engineer - Distributed Systems
About this role
About the Role What 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: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design, build, and optimize high-performance Rust systems supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control - Improve reliability, performance, and safety across existing Rust codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in distributed system behavior and implement scalable solutions - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - Native or fluent English speaker with clear written and verbal communication skills - 3–5+ years of professional experience writing production-grade Rust - Strong background in building distributed services using RPC frameworks, distributed state management, or consensus protocols - Experienced debugging complex concurrency issues — deadlocks, race conditions — using async instrumentation and tracing tools - Able to commit 20–40 hours per week on a consistent basis - Self-directed and reliable when working in a remote, async-first environment 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 at scale Why Join Us - Work on cutting-edge AI infrastructure projects alongside leading research labs - Fully remote and flexible — work when and where you do your best work - Freelance autonomy with the substance of high-impact, production-grade engineering - Contribute directly to systems that shape how next-generation AI models are built and evaluated - Potential for ongoing work and contract extension as new projects launch
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