Systems Programmer - AI Data Pipelines

Alignerr Corp.; Seattle (WA); A distancia; USD 28.000 - 55.000; A tiempo parcial

Descripción de la vacante

Alignerr Corp. is seeking a senior Rust engineer to design and build high-performance data pipelines, annotation tooling, and evaluation systems powering AI model training.

This fully remote contract role collaborates with data, research, and engineering teams to deliver scalable, reliable infrastructure at scale. You will join a distributed team focusing on performance, reliability, and correctness in production-grade Rust.

Formación

• 3-5+ years of professional experience writing production-grade Rust.
• Deep command of Rust lifetimes, ownership mechanics, and idiomatic error handling.
• Experience building I/O-bound data pipelines with robust retry/backoff logic.
• Self-directed and reliable, able to commit 20-40 hours per week.
• System-thinking: performance, fault tolerance, and correctness.

Responsabilidades

• 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 design reviews to iterate on system architecture and implementation decisions

Conocimientos

Rust

Data pipelines

System design

Performance

Distributed systems

Descripción del empleo

About The Role

What if your Rust expertise could directly shape the infrastructure powering the next generation of AI models? We're looking for a senior Rust engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.

Systems Programmer — AI Data Pipelines

What if your Rust expertise could directly shape the infrastructure powering the next generation of AI models? We're looking for a senior Rust engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.

This is a fully remote contract role working on real production systems - not toy projects. You'll collaborate directly with data, research, and engineering teams on infrastructure that matters at scale.

• Organization: Alignerr


• Type: Hourly Contract


• Location: Remote


• Commitment: 20-40 hours/week

What You'll Do

• 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 design reviews to iterate on system architecture and implementation decisions

Who You Are

• Native or fluent English speaker with clear written and verbal communication skills


• 3-5+ years of professional experience writing production-grade Rust


• Deep command of Rust lifetimes, ownership mechanics, and idiomatic error handling - you write code that's safe and maintainable by design


• Experienced building I/O-bound data pipelines with robust retry/backoff logic for production environments


• Self-directed and reliable - able to commit 20-40 hours per week and deliver without hand-holding


• You think in systems: performance, fault tolerance, and correctness aren't afterthoughts

Nice to Have

• 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


• Background working alongside research or ML engineering teams

Why Join Us

• Work on cutting-edge AI infrastructure alongside top research labs and engineering teams


• Fully remote - work from wherever you do your best work


• Meaningful, high-impact work on systems that directly influence model quality at scale


• Freelance autonomy with consistent, structured engagement


• Potential for ongoing collaboration and contract extension as new projects launch