Principal Rust Engineer — ML Infrastructure (AI Training) 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
Skills
Information TechnologyTechnology, Information and Internet