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Data Infrastructure Engineer; Rust - Computing

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Alignerr
Full Time position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    Data Security, Data Science Manager, AI Engineer
Salary/Wage Range or Industry Benchmark: 50 - 75 USD Hourly USD 50.00 75.00 HOUR
Job Description & How to Apply Below
Position: Data Infrastructure Engineer (Rust) - High Performance Computing

Data Infrastructure Engineer (Rust) – High Performance Computing

Contract, Remote – 20–40 hours per week. Competitive hourly pay.

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 workloads across data, tooling, and infrastructure.

Base Pay Range

$50.00/hr – $75.00/hr

Role Responsibilities
  • Design, build, and optimize high‑performance Rust systems 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.
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