
Senior Rust Engineer — AI Data & Infrastructure
- Pay
- $50–$75/hr
- Location
- Worldwide
- Type
- Contract
- Posted
- Jul 14, 2026
- Languages
- English
- Who can apply
- Not available in Kenya, Afghanistan, Burundi, Central African Republic, Republic of the Congo, Cuba, Dr Congo, Eritrea, Guinea, Guinea Bissau, Iran, Iraq, Liberia, Libya, Myanmar, North Korea, Papua New Guinea, Somalia, South Sudan, Sudan, Syria, Vanuatu, Venezuela, Yemen
Senior Rust Engineer — AI Data & Infrastructure
About the Role
What if your systems programming expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Rust Engineer to build and optimize the high-performance data pipelines, annotation tooling, and evaluation systems that sit at the heart of cutting-edge AI development.
This is a fully remote contract role working alongside leading AI labs on real production systems — not toy projects. If you care deeply about performance, correctness, and building things that scale, this is the work you've been waiting for.
- 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 AI data pipelines and evaluation workflows
- Develop backend services and tooling for large-scale data annotation, validation, and quality control
- Improve reliability, performance, and memory 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, production-ready fixes
- Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
- 5+ years of professional experience writing production-grade Rust
- Strong systems programming background — you think deeply about performance, concurrency, and memory safety
- Proven experience building backend services, developer tooling, or data pipelines
- Clear and effective communicator in both written and verbal contexts
- Able to commit 20–40 hours per week with reliability and consistency
Nice to Have
- Prior experience with data annotation, data quality systems, or evaluation pipelines
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems or large-scale developer tooling
- Background working with or alongside AI research teams
Why Join Us
- Work on cutting-edge AI infrastructure alongside leading research labs
- Fully remote and flexible — work from wherever you do your best work
- Freelance autonomy with the structure of meaningful, high-impact engineering work
- Make a direct, tangible contribution to AI systems that operate at real scale
- Potential for ongoing work and contract extension as new projects launch
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