Rust Jobs for Rustaceans 
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Showing 91-100 of 300 jobs
RUST Developer
AiFA Labs
Active - posted 9 days ago
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Active - posted 9 days ago
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Active - posted 9 days ago
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Trackk
Active - posted 10 days ago
RUST Embedded Software Engineer
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Active - posted 11 days ago
Staff Software Engineer, Connected Middleware & OTA Architecture
Rivian and Volkswagen Group Technologies
Active - posted 12 days ago
Rust Software Engineer
Dragonfly
Active - posted 12 days ago
Core ZK Engineer - Linea
Consensys
Active - posted 12 days ago
AI Software Engineer
StackHawk
Active - posted 12 days ago
Backend & Tooling Engineer
Alignerr
Active - posted 1 day ago
Job Description
About Alignerr
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)
Key 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
Requirements:
- 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