Senior C++ Full-Stack Engineer — AI Data & Infrastructure
About this role
About the Role What if your mastery of C++ could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior C++ Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — working on real production code with genuine, measurable impact. This is a fully remote, flexible contract role for a seasoned systems engineer who wants to do meaningful work at the frontier 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 C++ systems supporting large-scale AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for data annotation, validation, and quality control - Improve reliability, performance, and safety across production C++ codebases - Identify and resolve bottlenecks and edge cases in data and system behavior — then ship scalable fixes - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - 3–5+ years of professional experience writing production-grade C++, with a strong focus on modern standards (C++17 or C++20) - Deep systems programming background — you're comfortable with performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers) - Full-stack developer with experience across backend services and tooling, not just low-level systems - Clear, confident communicator — written and verbal — who can engage effectively with cross-functional teams - Native or fluent English speaker - Able to commit 20–40 hours per week consistently Nice to Have - Prior experience with data annotation systems, data quality pipelines, or evaluation infrastructure - Familiarity with AI/ML workflows, model training, or benchmarking systems - Experience with distributed systems or developer tooling at scale Why Join Us - Work directly with leading AI labs on production systems that matter - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of impactful, high-caliber engineering work - Collaborate with top technical experts across data, research, and infrastructure - Potential for ongoing work and contract extension as new projects launch
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