Senior C++ Full-Stack Engineer — AI Data & Infrastructure
About this role
About the Role What if your systems programming expertise could directly shape the infrastructure powering the next generation of AI? We're looking for Senior C++ Engineers to build, optimize, and scale the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve frontier models. This is a fully remote, flexible contract role for seasoned engineers who thrive on high-performance systems work and want their contributions to have real, measurable impact on cutting-edge 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 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 production C++ codebases - Identify bottlenecks and edge cases in data and system behavior, and implement scalable, robust fixes - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Participate in synchronous design reviews to iterate on system architecture and implementation decisions Who You Are - Full-stack developer with a strong systems programming background and deep C++ expertise - 3–5+ years of professional experience writing production C++, with a focus on modern standards (C++17 or C++20) - Solid command of performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers) - Native or fluent English speaker with clear written and verbal communication skills - Self-directed and reliable — able to commit 20–40 hours per week and deliver quality work independently - Sharp eye for edge cases, system behavior, and long-term scalability Nice to Have - Prior experience with data annotation, data quality pipelines, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking infrastructure - Experience building distributed systems or developer tooling at scale Why Join Us - Work on real production systems supporting some of the world's leading AI research labs - Fully remote and flexible — structure your hours around your life - Freelance autonomy with the substance of high-impact, technically challenging work - Contribute directly to infrastructure that shapes how next-generation AI models are built and evaluated - Potential for ongoing work and contract extension as projects grow and expand
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