Data Infrastructure Engineer (Rust) - High Performance Computing

About The Role

What if your mastery of Rust could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior Rust Engineer to build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their most advanced models.

This is a fully remote, flexible contract role for an elite systems engineer who knows Rust at a deep level — memory layout, SIMD, concurrency, and all. You'll work on real production systems at the frontier of AI development, collaborating with research and engineering teams doing genuinely important work.

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

• Design, build, and optimize high-performance Rust systems supporting large-scale AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for data annotation, validation, and quality control
• Identify and eliminate bottlenecks through deep profiling, SIMD optimizations, and careful memory management
• Improve reliability, performance, and safety across existing Rust codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Participate in synchronous design reviews and iterate quickly on system architecture decisions

• 5+ years of professional experience writing production-grade Rust
• Deep expertise in data parallelism and concurrency patterns — you know how to maximize CPU saturation
• Strong command of memory layout, SIMD optimizations, and heap allocation strategies to hunt down and fix performance bottlenecks
• Native or fluent English speaker with clear written and verbal communication skills
• Able to commit 20–40 hours per week consistently
• Self-directed and comfortable working asynchronously in a remote engineering environment

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

• Work on cutting-edge AI infrastructure projects alongside leading research labs
• Fully remote and flexible — structure your work around your life
• Freelance autonomy with the substance of high-impact, senior-level engineering work
• Tackle genuinely hard systems problems that matter at scale
• Potential for ongoing work and contract extension as new projects launch