AI Summary
We are seeking a Senior Rust Engineer to build and optimize high-performance data pipelines and evaluation systems for AI research labs. The ideal candidate will have deep expertise in Rust and experience with data parallelism and concurrency patterns. The role is fully remote and offers flexible working hours.
Key Highlights
Design and optimize high-performance systems in Rust
Develop full-stack tooling and backend services for large-scale data annotation
Collaborate with data, research, and engineering teams to support model training and evaluation workflows
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 design reviews to iterate on system architecture and implementation decisions
Technical Skills Required
Benefits & Perks
Fully remote work
Flexible working hours
Freelance autonomy with high-impact work
Nice to Have
Prior experience with data annotation, data quality pipelines, or evaluation systems
Familiarity with AI/ML workflows, model training, or benchmarking pipelines
Experience building distributed systems or developer tooling at scale
Job Description
Senior Rust Full-Stack Engineer — AI Data & Infrastructure
About The Role
What if your deep expertise in Rust could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior Rust Engineer to build and optimize high-performance data pipelines, annotation tooling, and evaluation systems used by leading AI research labs — on real production systems that matter.
This is a fully remote, flexible contract role for an experienced Rust engineer who thrives at the intersection of performance engineering and AI infrastructure.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
- 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 design reviews to iterate on system architecture and implementation decisions
Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Native or fluent English speaker with clear written and verbal communication skills
- 5+ years of professional experience writing production-grade Rust
- Deep expertise in data parallelism and concurrency patterns to maximize CPU saturation
- Strong command of memory layout, SIMD optimizations, and heap allocation minimization to identify and resolve performance bottlenecks
- Self-directed and dependable — able to commit 20–40 hours per week and deliver without hand-holding
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Prior experience with data annotation, data quality pipelines, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking pipelines
- Experience building distributed systems or developer tooling at scale
- Work on cutting-edge AI infrastructure alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of high-impact, technically challenging work
- Make a direct, tangible contribution to systems that shape how next-generation AI models are built and evaluated
- Potential for ongoing work and contract extension as new projects launch
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