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Data Infrastructure Engineer (Rust) - High Performance Computing

$50-75/hrRemoteFreelanceCODING

About the Role

What if your expertise in Rust could directly shape the infrastructure behind the world's most advanced AI systems? We're looking for a Senior Rust Engineer to design and build high-performance data pipelines, annotation tooling, and evaluation systems that power cutting-edge AI research and production workflows.

This is a fully remote contract role working alongside leading AI labs on real, high-impact engineering challenges — not toy projects. If you live and breathe Rust and care deeply about performance, safety, and correctness, this is the work you've been waiting for.

  • 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 large-scale AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
  • Identify and eliminate bottlenecks — squeezing every bit of performance from memory layout, SIMD optimizations, and concurrency patterns
  • Improve reliability, correctness, and safety across existing production Rust codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are

  • 5+ years of professional experience writing production-grade Rust
  • Deep expertise in data parallelism and concurrency patterns to maximize CPU saturation
  • Mastery of memory layout, SIMD optimizations, and minimizing heap allocations to systematically identify and resolve performance bottlenecks
  • Native or fluent English speaker with clear written and verbal communication skills
  • Able to commit reliably to 20–40 hours per week
  • Self-directed and comfortable working asynchronously across a distributed team

Nice to Have

  • Prior experience with data annotation, data quality pipelines, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
  • Experience building distributed systems or developer tooling
  • Exposure to working with or alongside AI research teams

Why Join Us

  • Work on real production systems used by leading AI research labs — your code ships and matters
  • Fully remote and flexible — structure your hours around your life
  • Collaborate with world-class engineers and researchers on genuinely hard technical problems
  • Freelance autonomy with the substance and impact of a high-stakes engineering role
  • Potential for ongoing work and contract extension as projects scale and evolve