Data Infrastructure Developer (C++)
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 a Senior C++ Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — from the ground up. This is a fully remote, flexible contract role for engineers who thrive on hard technical problems and want 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, performance, and safety across existing C++ codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, and implement scalable, production-ready fixes - Participate in synchronous design reviews to iterate on system architecture and implementation decisions Who You Are - Native or fluent English speaker with clear written and verbal communication skills - Full-stack developer with a strong systems programming background - 3–5+ years of professional experience writing production-grade C++ - Deep expertise in efficient binary serialization formats - Experienced implementing zero-copy data exchange protocols for high-speed pipelines - Self-directed and able to commit 20–40 hours per week in a remote environment Nice to Have - Prior experience with data annotation, data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Why Join Us - Work on real production systems at the frontier of AI — not toy projects - Collaborate directly with leading AI research labs on high-impact infrastructure - Fully remote and flexible — work when and where you do your best work - Freelance autonomy with the substance of meaningful, technically demanding work - Potential for ongoing work and contract extension as new projects launch
Application listings
Choose a source listing and check its country requirements.