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
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
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