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Backend & Tooling Engineer; Rust

Job in Seattle, King County, Washington, 98127, USA
Listing for: Labelbox
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, AI Engineer, Data Security
Salary/Wage Range or Industry Benchmark: 50 - 75 USD Hourly USD 50.00 75.00 HOUR
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) | $50 - $75 an hour

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
  • 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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