Alignerr
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Lead Systems Engineer (Rust) - AI Platform
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Alignerr .
1 day ago Be among the first 25 applicants.
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This range is provided by Alignerr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $50.00/hr - $75.00/hr
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, with a focus on system architecture and API design.
Deep expertise in FFI (Foreign Function Interface) and unsafe Rust boundaries to optimize interactions between Rust and other languages.
Advanced knowledge of asynchronous runtimes and ensuring thread safety in complex, multi-threaded environments.
Clear written and verbal communication skills for leading system design reviews.
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
#J-18808-Ljbffr
Lead Systems Engineer (Rust) - AI Platform
role at
Alignerr .
1 day ago Be among the first 25 applicants.
Get AI-powered advice on this job and more exclusive features.
This range is provided by Alignerr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $50.00/hr - $75.00/hr
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, with a focus on system architecture and API design.
Deep expertise in FFI (Foreign Function Interface) and unsafe Rust boundaries to optimize interactions between Rust and other languages.
Advanced knowledge of asynchronous runtimes and ensuring thread safety in complex, multi-threaded environments.
Clear written and verbal communication skills for leading system design reviews.
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
#J-18808-Ljbffr