Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. The role involves designing, building, and optimizing high-performance systems in Rust to support AI data pipelines and evaluation workflows.
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, with a focus on system architecture and API design
- Deep expertise in FFI (Foreign Function Interface) and unsafe Rust boundaries to optimize interactions between Rust and other languages
- Advanced knowledge of asynchronous runtimes and ensuring thread safety in complex, multi-threaded environments
- Clear written and verbal communication skills for leading system design reviews
- Ability to commit 20–40 hours per week
- 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