Labelbox
Principal Rust Engineer - ML Infrastructure
Labelbox, San Francisco, California, United States, 94199
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.
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
#J-18808-Ljbffr
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.
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
#J-18808-Ljbffr