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...

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