Principal Rust Engineer – ML Infrastructure – Los Angeles

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

Position Senior Rust Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities – Design, build, and optimize high-performance systems in Rust supporting AI data pipelines and evaluation workflows – Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control – Improve reliability, performance, and safety across existing Rust codebases – Collaborate with data, research, and engineering teams to support model training and evaluation workflows – Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes – Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have – Native or fluent English speaker – 5+ years of professional experience writing production Rust for data-intensive applications. – Strong background in memory management and zero-copy deserialization mechanisms with minimal runtime overhead. – Experience integrating Rust with machine learning frameworks or columnar data standards to support model training workflows. – Clear written and verbal communication skills. – Ability to commit 20–40 hours per week.

Preferred – Prior experience with data annotation, data quality, or evaluation systems – Familiarity with AI/ML workflows, model training, or benchmarking pipelines – Experience with distributed systems or developer tooling Application Process – Submit your resume – Complete a short technical screening – Project matching and onboarding $50 – $75 an hour