Remote Senior Rust Engineer - AI Data Pipelines

Alignerr Corp.; New York (NY); Remote; USD 28.000 - 55.000; Vollzeit

Benefits dieser Stelle

Fully remote

Freelance autonomy

Zusammenfassung

Alignerr is seeking a senior Rust engineer to design and build high-performance data pipelines, annotation tooling, and evaluation systems for AI models. The role is remote, hourly, and requires 20–40 hours per week, with collaboration across data, research, and engineering teams.

You will contribute to production Rust systems, improve reliability, and participate in architecture decisions for scalable AI workflows.

Qualifikationen

• 3–5+ years of professional experience writing production Rust.
• Strong command of Rust lifetimes, ownership, and error handling patterns.
• Proven experience building I/O-bound data pipelines with robust retry and backoff logic.
• Able to commit 20–40 hours per week remotely and reliably.
• Excellent written and verbal English communication.

Aufgaben

• Design, build, and optimize high-performance Rust systems for 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 production Rust codebases.
• Identify bottlenecks and edge cases in data and system behavior; implement scalable fixes.
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows.
• Participate in design and code reviews to iterate on architecture and implementation decisions.

Kenntnisse

Rust programming

Production Rust

Data pipelines

Code reviews

Jobbeschreibung

Alignerr is seeking a senior Rust engineer to design and build high-performance data pipelines, annotation tooling, and evaluation systems for AI models. The role is remote, hourly, and requires 20–40 hours per week, with collaboration across data, research, and engineering teams.

You will contribute to production Rust systems, improve reliability, and participate in architecture decisions for scalable AI workflows.