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Principal Rust Engineer - ML Infrastructure

$50-75/hrRemoteFreelanceCODING

About the Role

What if your deep expertise in Rust could directly shape the infrastructure powering some of the world's most advanced AI systems? We're looking for a Principal Rust Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and refine next-generation models.

This is a fully remote, flexible contract role for a seasoned Rust engineer who thrives on hard systems problems and wants their work to matter at scale.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 20–40 hours/week

What You'll Do

  • Design, build, and optimize high-performance Rust systems that power AI data pipelines and model evaluation workflows
  • Develop full-stack backend tooling and services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and safety across production Rust codebases
  • Collaborate closely with data, research, and engineering teams to accelerate model training and evaluation
  • Identify and resolve bottlenecks and edge cases in data flow and system behavior
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are

  • Native or fluent English speaker with clear written and verbal communication skills
  • 5+ years of professional experience writing production Rust for data-intensive applications
  • Deep understanding of memory management and zero-copy deserialization with minimal runtime overhead
  • Proven experience integrating Rust with machine learning frameworks or columnar data standards to support model training workflows
  • Able to commit 20–40 hours per week with consistency and reliability
  • Self-directed and comfortable operating in fast-moving, research-adjacent environments

Nice to Have

  • Prior experience with data annotation, data quality, or model evaluation systems
  • Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
  • Experience building distributed systems or developer tooling at scale

Why Join Us

  • Work on real production systems used by leading AI research labs
  • Fully remote and async-friendly — work when and where it suits you
  • Freelance autonomy paired with high-impact, technically demanding work
  • Contribute directly to the infrastructure that makes next-generation AI possible
  • Potential for ongoing work and contract extension as new projects launch