Data Infrastructure Engineer (Rust) - High Performance Computing

About The Role

What if your mastery of Rust could directly shape the infrastructure that powers the world's most advanced AI systems? We're looking for a Senior Rust Full-Stack Engineer to build, optimize, and scale the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — every single day.

This is a fully remote contract role for engineers who think deeply about performance, care about correctness, and want their work to matter at scale.

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

• Design and build high-performance, production-grade systems in Rust that underpin AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
• Identify and eliminate bottlenecks — from memory layout issues to concurrency inefficiencies — and implement scalable, lasting fixes
• Improve reliability, safety, and performance across existing Rust codebases
• Collaborate closely with data, research, and engineering teams to support model training and evaluation at scale
• Participate in synchronous design reviews and iterate on system architecture with sharp, opinionated engineers

• 5+ years of professional experience writing production Rust — this is not a learning opportunity, it's a mastery showcase
• Deep expertise in data parallelism and concurrency patterns to maximize CPU saturation
• Thorough understanding of memory layout, SIMD optimizations, and heap allocation minimization — you find and fix performance issues others miss
• Native or fluent English speaker with clear, precise written and verbal communication
• Able to commit 20–40 hours per week with consistency and professionalism
• Self-directed and dependable — you deliver without hand-holding

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

• Work directly with leading AI research labs on systems that matter in production — not toy projects
• Fully remote and async-friendly — work from wherever you do your best thinking
• High-autonomy contract work with the depth and challenge of a senior engineering role
• Collaborate with a technically sharp, mission-driven team pushing the frontier of AI infrastructure
• Ongoing work and contract extension available as projects grow and new ones launch