Labelbox
Data Infrastructure Engineer (Rust) - High Performance Computing
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.
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.
Expertise in data parallelism and concurrency patterns to maximize CPU saturation.
Deep understanding of memory layout, SIMD optimizations, and minimizing heap allocations to identify and fix performance bottlenecks.
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
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.
Expertise in data parallelism and concurrency patterns to maximize CPU saturation.
Deep understanding of memory layout, SIMD optimizations, and minimizing heap allocations to identify and fix performance bottlenecks.
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