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Systems Programmer - AI Data Pipelines
Job summary
A tech company in the United Kingdom is seeking a Senior Rust Full-Stack Engineer to design and optimize high-performance systems for AI data pipelines. The role involves building full-stack tooling and collaborating with teams to support model training workflows. Ideal candidates should have 3-5 years of Rust experience and strong communication skills, along with a commitment of 20–40 hours per week. This position offers competitive hourly compensation and the flexibility of remote work.
Qualifications
- 3-5+ years of professional experience writing production Rust.
- Strong command of Rust lifetimes and ownership mechanics.
- Ability to communicate clearly in written and verbal English.
Responsibilities
- Design, build, and optimize high-performance systems in Rust.
- Develop full-stack tooling for data annotation and validation.
- Identify and resolve bottlenecks in data and system behavior.
Skills
About the Job
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.
Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience)
- 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
- Native or fluent English speaker
- 3-5+ years of professional experience writing production Rust.
- Strong command of Rust lifetimes, ownership mechanics, and idiomatic error handling patterns to ensure pipeline reliability.
- Experience building I/O-bound data pipelines and implementing robust retry/backoff logic for production systems.
- 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
- Submit your resume
- Complete a short technical screening
- Project matching and onboarding
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.