Rust Software Engineer - Distributed Systems
Senior Rust Engineer — AI Data & Distributed Infrastructure About The Role What if your Rust expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a seasoned Rust engineer to build and optimize the high-performance distributed systems that leading AI labs depend on — from data pipelines and annotation tooling to evaluation infrastructure at scale. This is a fully remote, flexible contract role for engineers who write production Rust, think deeply about distributed systems, and want their work to matter.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 20–40 hours/week What You'll Do Design, build, and optimize high-performance Rust systems that support AI data pipelines and evaluation workflows
Develop full-stack backend services and tooling for large-scale data annotation, validation, and quality control
Improve reliability, safety, and performance across existing production Rust codebases
Collaborate with data, research, and engineering teams to support model training and evaluation workflows
Identify and resolve bottlenecks, edge cases, and systemic issues in distributed data systems
Participate in synchronous design reviews and iterate on architecture and implementation decisions Who You Are 3–5+ years of professional experience writing production-grade Rust
Strong background building distributed services using RPC frameworks and managing distributed state or consensus
Experienced debugging complex concurrency issues — deadlocks, race conditions — using async instrumentation and tracing tools
Clear, precise written and verbal communicator — you can articulate technical decisions to a mixed audience
Native or fluent English speaker
Available and able to commit 20–40 hours per week Nice to Have Prior experience with data annotation, data quality pipelines, or model evaluation systems
Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
Background in developer tooling or platform engineering Why Join Us Work on real production systems used by leading AI research labs — not toy projects
Fully remote and async-friendly — work from wherever you do your best thinking
Freelance autonomy with the structure of meaningful, high-stakes engineering work
Tackle genuinely hard technical problems at the intersection of systems engineering and AI
Potential for ongoing engagement and expanded scope as projects evolve