Lead Systems Engineer (Rust) - AI Platform

Company: Alignerr

Location: Seattle, WA (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-05

About this role

Lead Systems Engineer (Rust) — AI Platform
About The Role
What if your Rust expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior Rust Full-Stack Engineer to build high-performance data pipelines, annotation tooling, and evaluation infrastructure for leading AI labs — working on systems that matter at scale.


This is a fully remote, flexible contract role for engineers who know Rust deeply and want to apply it to genuinely hard, high-impact problems 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 supporting AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and 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, and implement scalable, production-ready fixes
  • Lead synchronous system design reviews and drive key architectural decisions

Who You Are

  • Native or fluent English speaker with clear written and verbal communication skills
  • 5+ years of professional experience writing production Rust, with a strong focus on system architecture and API design
  • Deep expertise in FFI (Foreign Function Interface) and unsafe Rust boundaries to optimize cross-language interactions
  • Advanced command of asynchronous runtimes and thread safety in complex, multi-threaded environments
  • Able to lead technical reviews and communicate design tradeoffs clearly to cross-functional teams
  • Available to commit 20–40 hours per week on a consistent basis

Nice to Have

  • Prior experience with data annotation, data quality, or e...

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