Labelbox
51-200 employees
information-technology-and-services
data-labeling-software
information-technology
services
software
About Labelbox
Labelbox’s training data platform is engineered to help you improve your training data iteration loop. It is designed around three core pillars: the ability to Annotate data, Diagnose model performance, and Prioritize based on your results. With Labelbox, you can:- Decrease annotation costs by 50-80% by leveraging the latest in labeling automation, model-error analysis and active learning- Iterate 3x faster on your AI data to build more performant models- Collaborate more efficiently between data scientists, labelers and domain experts
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Description
- 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.
- The position is for a Senior Rust Full-Stack Engineer focusing on AI Data & Infrastructure, supporting AI data pipelines, data annotation, validation, and quality control.
- Responsibilities include designing high-performance systems in Rust, developing full-stack tooling, improving system reliability and performance, collaborating with data and research teams, and fixing bottlenecks.
- The role requires 5+ years of professional experience writing Rust, expertise in data parallelism, concurrency, memory optimization, and strong communication skills.
- Preferred experience includes data annotation, AI/ML workflows, distributed systems, and developer tooling.
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Requirements
- Native or fluent English speaker
- 5+ years of professional experience writing production Rust
- Expertise in data parallelism and concurrency patterns
- Deep understanding of memory layout, SIMD, and heap allocations
- Clear written and verbal communication skills
- Ability to commit 20–40 hours per week
- Prior experience with data annotation, data quality, or evaluation systems (preferred)
- Familiarity with AI/ML workflows, model training, or benchmarking pipelines (preferred)
- Experience with distributed systems or developer tooling (preferred)
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Benefits
- Flexible, remote work environment
- Competitive hourly compensation based on experience
- Opportunity to work on cutting-edge AI data infrastructure
- Collaborative team environment
- Potential for professional growth in AI and data systems