Systems Programmer - AI Data Pipelines
About this role
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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