Systems Programmer - AI Data Pipelines
Systems Programmer — AI Data Pipelines About The Role What if your Rust expertise could directly shape the infrastructure behind 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 collaborate with research and engineering teams at the frontier of AI development, solving hard systems problems that matter.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
What You'll Do
- Design, build, and optimize high-performance Rust systems 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 production Rust codebases
- Identify bottlenecks and edge cases in data and system behavior — then implement scalable, robust fixes
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- Participate in synchronous design and code reviews to iterate on architecture and implementation decisions
Who You Are
- Native or fluent English speaker with strong written and verbal communication skills
- 3–5+ years of professional experience writing production Rust
- Deep command of Rust lifetimes, ownership mechanics, and idiomatic error handling patterns
- Proven experience building I/O-bound data pipelines with robust retry and backoff logic
- Able to commit 20–40 hours per week with reliable availability for collaboration
- Self-directed and effective working independently in a remote environment
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 or developer tooling
- Background in systems programming, infrastructure engineering, or platform work
Why Join Us
- Work directly with leading AI labs on production systems at the frontier of AI research
- Fully remote and flexible — structure your week around the work, not the other way around
- Freelance autonomy paired with meaningful, high-impact engineering challenges
- Build systems that have a direct, measurable influence on how next-generation AI models are trained and evaluated
- Potential for ongoing work and contract extension as new projects launch
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