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 world's most advanced AI models? We're looking for Senior C++ Engineers to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation AI. This is a fully remote, flexible contract role for engineers who write clean, fast, production-grade C++ and want to work on problems that genuinely matter. - 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 memory safety across existing production C++ codebases - Identify bottlenecks and edge cases in system and data behavior — then implement scalable, production-ready fixes - Collaborate with data, research, and engineering teams to accelerate model training and evaluation - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - Full-stack developer with a strong systems programming background - 3–5+ years of professional experience writing production C++, with a focus on modern standards (C++17 or C++20) - Deep familiarity with performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers) - Native or fluent English speaker with clear written and verbal communication skills - Able to commit 20–40 hours per week with professional reliability - Self-directed and effective when working independently in a remote environment Nice to Have - Prior experience with data annotation, data quality systems, or evaluation pipelines - Familiarity with AI/ML workflows, model training, or benchmarking infrastructure - Experience with distributed systems or developer tooling - Exposure to working with research teams or in fast-moving technical environments Why Join Us - Work directly with leading AI labs on production systems that power cutting-edge research - Fully remote and flexible — work when and where you're most productive - Freelance autonomy with the substance of meaningful, high-impact engineering work - Tackle genuinely hard technical problems with real consequences for AI development - Potential for ongoing work and contract extension as new projects launch
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