Rust Engineer for AI Training and Evaluation

Alignerr United State
Remote
Apply
AI Summary

Review AI-generated Rust code for correctness and memory safety. Evaluate concurrent programming logic and identify potential race conditions. Assess performance optimization strategies.

Key Highlights
Review AI-generated Rust code
Evaluate concurrent programming logic
Assess performance optimization strategies
Key Responsibilities
Review AI-generated Rust code for correctness, memory safety, and idiomatic ownership patterns
Design challenging systems-level problems to probe the limits of AI's understanding of low-level constraints
Evaluate concurrent programming logic and identify potential race conditions or unsafe patterns in AI outputs
Assess performance optimization strategies and flag where AI reasoning breaks down
Ensure scientific rigor and type-safety across all evaluated deliverables
Provide clear, structured feedback that helps improve AI model behavior at the systems level
Technical Skills Required
Rust Memory Safety Concurrency Systems Programming Performance Optimization
Benefits & Perks
Fully remote work
Flexible contract role
10–40 hours/week commitment
Nice to Have
Distributed systems
Operating systems
Developer tooling
Unsafe Rust
Compiler design
Embedded systems
High-performance computing

Job Description


Backend Rust Engineer (AI Training)

About The Role

What if your deep expertise in Rust could directly shape how the next generation of AI understands systems-level programming? We're looking for experienced Rust engineers to review, evaluate, and challenge AI-generated code — helping ensure that the models influencing software development worldwide can reason correctly about memory safety, ownership, concurrency, and performance.

This is a fully remote, flexible contract role designed for seasoned Rust developers who know what good systems code looks like — and exactly how to spot when it falls short.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Review AI-generated Rust code for correctness, memory safety, and idiomatic ownership patterns
  • Design challenging systems-level problems to probe the limits of AI's understanding of low-level constraints
  • Evaluate concurrent programming logic and identify potential race conditions or unsafe patterns in AI outputs
  • Assess performance optimization strategies and flag where AI reasoning breaks down
  • Ensure scientific rigor and type-safety across all evaluated deliverables
  • Provide clear, structured feedback that helps improve AI model behavior at the systems level
  • Work independently and asynchronously — on your own schedule

Who You Are

  • 5+ years of professional experience writing production Rust with a strong focus on memory safety and concurrency
  • Deep familiarity with Rust's ownership model, lifetime system, and type guarantees
  • Strong background in systems programming and performance optimization
  • Able to clearly articulate complex low-level programming concepts in writing
  • Bachelor's degree or higher in Computer Science or a related technical field
  • Detail-oriented and methodical — you spot what others miss

Nice to Have

  • Experience with distributed systems, operating systems, or developer tooling
  • Familiarity with unsafe Rust and the tradeoffs involved
  • Background in compiler design, embedded systems, or high-performance computing
  • Prior exposure to AI code evaluation or technical content review

Why Join Us

  • Work on cutting-edge AI projects alongside leading research labs and AI teams
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, technically rigorous work
  • Make a direct, tangible impact on how AI understands and generates systems-level code
  • Potential for ongoing work and contract extension as new projects launch
  • Training and onboarding support provided — hit the ground running

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