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Senior Rust Engineer — AI Data & Infrastructure
Job summary
Work model
About The Role
What if your systems programming expertise could directly shape the infrastructure behind some of the world's most advanced AI models? We're looking for a Senior Rust Engineer to build and optimize the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.
This is a fully remote contract role with serious technical depth. You'll be working on real production systems --- not toy projects --- alongside research and engineering teams at the frontier of AI development.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20--40 hours/week
What You'll Do
- Design, build, and optimize high-performance systems in Rust that power AI data pipelines and evaluation workflows
- Develop backend services and tooling for large-scale data annotation, validation, and quality control
- Improve reliability, performance, and memory 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 data and system behavior --- then implement scalable, production-ready fixes
- Participate in synchronous design reviews to iterate on architecture and implementation decisions
Who You Are
- 5+ years of professional experience writing production-grade Rust
- Strong systems programming foundation --- you think carefully about performance, concurrency, and memory safety
- Proven experience building backend services, developer tooling, or data pipelines
- Clear, direct communicator --- written and verbal --- comfortable working across technical and research teams
- Able to commit 20--40 hours per week with consistency and reliability
Nice to Have
- Prior experience with data annotation systems, data quality pipelines, or model evaluation infrastructure
- Familiarity with AI/ML workflows, model training, or benchmarking pipelines
- Experience with distributed systems design or developer tooling at scale
- Exposure to Go, Python, or C++ in a systems context
Why Join Us
- Work directly with leading AI labs on real, production-grade infrastructure that matters
- Fully remote --- work from anywhere, on a schedule that fits your life
- Freelance autonomy with the structure and focus of high-impact, technically challenging work
- Contribute to systems that shape how the world's most advanced AI models are built and evaluated
- Potential for ongoing engagement and expanded scope as projects grow