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