Posted Jul 13, 2026

Senior C++ Full-Stack Engineer — AI Data & Infrastructure

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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