Senior Rust Engineer — AI Data & Infrastructure
Company: Alignerr
Location: Seattle, WA (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-04-29
About this role
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...