AI Summary
Seeking a Principal Rust Engineer to design and build high-performance AI training infrastructure. Responsibilities include developing data pipelines, annotation tooling, and evaluation systems. Requires 5+ years of Rust experience with a focus on data-intensive applications and ML integration.
Key Highlights
Design and build high-performance Rust systems for AI data pipelines and model evaluation.
Develop full-stack backend tooling for large-scale data annotation and validation.
Requires 5+ years of professional Rust experience for data-intensive applications.
Key Responsibilities
Design, build, and optimize high-performance Rust systems that power AI data pipelines and model evaluation workflows
Develop full-stack backend tooling and services for large-scale data annotation, validation, and quality control
Improve reliability, performance, and safety across production Rust codebases
Collaborate closely with data, research, and engineering teams to accelerate model training and evaluation
Identify and resolve bottlenecks and edge cases in data flow and system behavior
Participate in synchronous design reviews to iterate on architecture and implementation decisions
Technical Skills Required
Benefits & Perks
Fully remote
Flexible contract role
Work on real production systems used by leading AI research labs
Async-friendly work environment
Freelance autonomy
Potential for ongoing work and contract extension
Nice to Have
Prior experience with data annotation, data quality, or model evaluation systems
Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
Experience building distributed systems or developer tooling at scale
Job Description
Principal Rust Engineer — ML Infrastructure (AI Training)
About The Role
What if your deep expertise in Rust could directly shape the infrastructure powering some of the world's most advanced AI systems? We're looking for a Principal Rust Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and refine next-generation models.
This is a fully remote, flexible contract role for a seasoned Rust engineer who thrives on hard systems problems and wants their work to matter at scale.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
- Design, build, and optimize high-performance Rust systems that power AI data pipelines and model evaluation workflows
- Develop full-stack backend tooling and services for large-scale data annotation, validation, and quality control
- Improve reliability, performance, and safety across production Rust codebases
- Collaborate closely with data, research, and engineering teams to accelerate model training and evaluation
- Identify and resolve bottlenecks and edge cases in data flow and system behavior
- Participate in synchronous design reviews to iterate on 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 Rust for data-intensive applications
- Deep understanding of memory management and zero-copy deserialization with minimal runtime overhead
- Proven experience integrating Rust with machine learning frameworks or columnar data standards to support model training workflows
- Able to commit 20–40 hours per week with consistency and reliability
- Self-directed and comfortable operating in fast-moving, research-adjacent environments
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, or model evaluation systems
- Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
- Experience building distributed systems or developer tooling at scale
- Work on real production systems used by leading AI research labs
- Fully remote and async-friendly — work when and where it suits you
- Freelance autonomy paired with high-impact, technically demanding work
- Contribute directly to the infrastructure that makes next-generation AI possible
- Potential for ongoing work and contract extension as new projects launch
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