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
What You'll Do
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
Who You Are
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
Nice to Have
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
Why Join Us
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