Senior C++ Full-Stack Engineer — AI Data & Infrastructure
About this role
About the Role What if your deep C++ expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior C++ Full-Stack Engineer to design, build, and optimize the systems that leading AI labs depend on — from high-performance data pipelines to annotation tooling and evaluation infrastructure. This is a fully remote, flexible contract role for an experienced systems engineer who thrives on hard problems, cares deeply about performance and reliability, and wants their work to matter at scale. - 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, safety, and performance across existing C++ codebases - Identify bottlenecks and edge cases in system and data behavior — then implement scalable, production-grade fixes - Collaborate closely 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 - Native or fluent English speaker with strong written and verbal communication skills - Full-stack developer with a deep systems programming background - 3–5+ years of professional experience writing production C++, with a strong command of modern standards (C++17 or C++20) - Proven expertise in performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers) - Self-directed and reliable — able to commit 20–40 hours per week and deliver consistently in a remote environment Nice to Have - Prior experience with data annotation pipelines, data quality systems, or evaluation infrastructure - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Why Join Us - Work directly with leading AI labs on real production systems — not toy projects - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure and focus of high-impact technical work - Contribute to infrastructure that shapes how next-generation AI models are built and evaluated - Potential for ongoing work and contract extension as new projects launch
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