Principal Rust Engineer
2 days ago
New York, United States
Alignerr
Remote
Full-time
$50 - $75 Permanent
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Principal Rust Engineer — ML Infrastructure (AI Training)
About The Role
What if your deep Rust expertise could directly influence the infrastructure powering the world's most advanced AI models? We're looking for a Principal Rust Engineer to build and optimize the high-performance systems that leading AI labs depend on — from data pipelines and annotation tooling to evaluation infrastructure at production scale. This is a fully remote, flexible contract role for engineers who live and breathe Rust and want to work on problems that genuinely matter.
• 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 backend services and full-stack tooling for data annotation, validation, and quality control
• Improve reliability, performance, and memory safety across existing Rust codebases
• Identify and resolve bottlenecks, edge cases, and failure modes in data-intensive systems
• Collaborate closely with data, research, and engineering teams to support model training and evaluation workflows
• 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
• Experienced 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 effective working asynchronously across distributed teams Nice to Have
• Prior experience with data annotation, data quality pipelines, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking pipelines
• Experience with distributed systems or developer tooling
• Background contributing to or maintaining open-source Rust projects Why Join Us
• Work directly on infrastructure used by leading AI research labs on real production systems
• Fully remote and flexible — work when and where you do your best work
• Freelance autonomy with meaningful, high-impact technical work that pushes the boundaries of what Rust can do
• Collaborate with world-class engineers and researchers working on next-generation AI
• Potential for ongoing work and contract extension as new projects launch
About The Role
What if your deep Rust expertise could directly influence the infrastructure powering the world's most advanced AI models? We're looking for a Principal Rust Engineer to build and optimize the high-performance systems that leading AI labs depend on — from data pipelines and annotation tooling to evaluation infrastructure at production scale. This is a fully remote, flexible contract role for engineers who live and breathe Rust and want to work on problems that genuinely matter.
• 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 backend services and full-stack tooling for data annotation, validation, and quality control
• Improve reliability, performance, and memory safety across existing Rust codebases
• Identify and resolve bottlenecks, edge cases, and failure modes in data-intensive systems
• Collaborate closely with data, research, and engineering teams to support model training and evaluation workflows
• 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
• Experienced 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 effective working asynchronously across distributed teams Nice to Have
• Prior experience with data annotation, data quality pipelines, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking pipelines
• Experience with distributed systems or developer tooling
• Background contributing to or maintaining open-source Rust projects Why Join Us
• Work directly on infrastructure used by leading AI research labs on real production systems
• Fully remote and flexible — work when and where you do your best work
• Freelance autonomy with meaningful, high-impact technical work that pushes the boundaries of what Rust can do
• Collaborate with world-class engineers and researchers working on next-generation AI
• Potential for ongoing work and contract extension as new projects launch