Senior Systems Engineer — AI Data & Infrastructure
About this role
About the Role What if your systems engineering expertise could directly shape the infrastructure that powers the world's most advanced AI models? We're looking for a Senior Systems Engineer to build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — working on real production systems with genuine, measurable impact. This is a fully remote, flexible contract role for experienced engineers who thrive at the intersection of performance, reliability, and scale. If you've spent years making systems faster, smarter, and more resilient — this is where that expertise matters most. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design, build, and optimize high-performance systems in Go, Rust, Python, or C++ - Develop backend services and tooling for large-scale data annotation, validation, and evaluation workflows - Build and maintain reliable data pipelines supporting AI model training and benchmarking - Identify and resolve bottlenecks, edge cases, and failure modes across data and system layers - Improve performance, scalability, and correctness across existing production codebases - Collaborate directly with data, research, and engineering teams on model-facing infrastructure - Participate in architecture reviews and iterate on system design decisions with senior peers Who You Are - 5+ years of professional experience with Go, Rust, Python, or C++ - Strong background in systems or backend engineering — you think in terms of performance, reliability, and correctness - Proven experience shipping production services, developer tooling, or data pipelines at scale - Able to reason clearly about failure modes, trade-offs, and system behavior under load - Clear, precise communicator — in code, in writing, and in technical discussion - Available to commit 20–40 hours per week on a contractor basis Nice to Have - Experience with data annotation systems, data quality pipelines, or model evaluation infrastructure - Familiarity with AI/ML workflows, training pipelines, or benchmarking systems - Background in distributed systems or high-throughput data processing - Experience building developer tooling or internal platform infrastructure Why Join Us - Work on cutting-edge AI infrastructure alongside the leading research labs in the industry - Fully remote and flexible — structure your hours around your most productive time - Freelance autonomy with the substance of high-impact, technically demanding work - Contribute to systems that directly influence how next-generation AI models are built and evaluated - Potential for ongoing work and contract extension as projects scale and evolve
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