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Showing 111-120 of 300 jobs
Software Engineer
Air Space Intelligence
Active - posted 12 days ago
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Active - posted 12 days ago
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Active - posted 12 days ago
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Active - posted 12 days ago
Senior Rust Engineer
MLabs
Active - posted 13 days ago
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Keyrock
Active - posted 13 days ago
Engineering Lead
Keyrock
Active - posted 13 days ago
Backend Rust Engineer
Keyrock
Active - posted 13 days ago
INTERIM RUST Developer
Michael Page
Active - posted 13 days ago
Principal Rust Engineer - ML Infrastructure
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 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