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
