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Posted May 21, 2026

Systems Programmer - AI Data Pipelines

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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 Apply tot his job Apply To this Job