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Backend & Tooling Engineer; Rust

Job in Seattle, King County, Washington, 98127, USA
Listing for: Alignerr
Full Time position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Backend & Tooling Engineer (Rust)

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
  • Native or fluent English speaker
  • 5+ years of professional experience writing production Rust
  • Proficiency building high‑performance backend web services and robust, user‑friendly command‑line interface (CLI) tools
  • Experience with type‑safe database interactions and connection pooling for handling large‑scale data
  • 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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