Alignerr
Systems Programmer - AI Data Pipelines
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Systems Programmer — AI Data Pipelines
About The Role
What if your mastery of Rust could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a senior Rust engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
This is a fully remote contract role working on real production systems — not toy projects. You'll be embedded alongside world-class data, research, and engineering teams, solving hard systems problems that have a direct impact on the trajectory of AI development.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 20–40 hours/week
What You'll Do
- Design, build, and optimize high-performance systems in Rust supporting large-scale AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
- Improve reliability, performance, and safety across existing Rust codebases
- Identify and eliminate bottlenecks and edge cases in data and system behavior, implementing scalable, production-ready fixes
- Collaborate closely with data, research, and engineering teams to support model training and evaluation workflows
- Participate in synchronous design reviews to iterate on system architecture and implementation decisions
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Who You Are
- Native or fluent English speaker with clear written and verbal communication skills
- 3–5+ years of professional experience writing production-grade Rust
- Deep command of Rust lifetimes, ownership mechanics, and idiomatic error handling — you write Rust the way it was meant to be written
- Proven experience building I/O-bound data pipelines with robust retry/backoff logic for production environments
- Self-directed and reliable — you can commit to 20–40 hours per week and deliver without hand-holding
- Sharp eye for edge cases and system behavior under load
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Nice to Have
- Prior experience with data annotation, data quality, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking pipelines
- Experience with distributed systems architecture or developer tooling
- Background working alongside research or ML engineering teams
Why Join Us
- Work on real, high-stakes AI infrastructure used by leading research labs
- Fully remote and async-friendly — work from anywhere, on a schedule that suits you
- Meaningful, technically challenging problems — not maintenance work
- Direct impact on how next-generation AI systems are built, evaluated, and improved
- Potential for ongoing work and contract extension as new projects launch
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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