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Principal Rust Engineer - ML Infrastructure

Job in New York, New York County, New York, 10261, USA
Listing for: Alignerr
Full Time position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 50 - 75 USD Hourly USD 50.00 75.00 HOUR
Job Description & How to Apply Below
Location: New York

Principal Rust Engineer - ML Infrastructure

1 day ago Be among the first 25 applicants

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 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
Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

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