Key skills
Rust programmingDistributed systemsConcurrency debuggingRPC frameworksAI/ML workflowsData annotation experienceClear communicationRustAIMLCommunication
About this role
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
- 3-5+ years of professional experience writing production Rust
- Strong background in building distributed services using RPC frameworks and handling distributed state or consensus
- Experience debugging complex concurrency issues (deadlocks, race conditions) using asynchronous instrumentation and tracing tools
- Clear written and verbal communication skills
- 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