C++ Backend Engineer - AI Data Platforms

C++ Backend Engineer — AI Data Platforms 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 to train and improve next-generation models. This is a fully remote, flexible contract role for a seasoned C++ engineer who thrives on performance-critical systems and wants their work to have real, lasting impact on the AI landscape. • Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 20–40 hours/week What You'll Do • Design, build, and optimize high-performance C++ systems that power AI data pipelines and model evaluation workflows • Develop backend services and full-stack tooling supporting large-scale data annotation, validation, and quality control • Improve reliability, safety, and throughput across existing production C++ codebases • Identify and resolve bottlenecks, edge cases, and failure modes in complex distributed systems • Collaborate closely with data, research, and engineering teams to accelerate model training and evaluation • Participate in synchronous design reviews and contribute to architectural decisions that shape the platform Who You Are • Native or fluent English speaker with clear written and verbal communication skills • 5+ years of professional experience writing production-grade C++ • Strong background in asynchronous network programming — event loops, RPC frameworks, and high-performance microservices • Experienced with high-throughput databases or message queues • Full-stack developer mindset with a deep systems programming foundation • Able to commit 20–40 hours per week with consistency and reliability Nice to Have • Prior experience with data annotation platforms, data quality systems, or model evaluation infrastructure • Familiarity with AI/ML workflows, model training pipelines, or benchmarking systems • Experience with distributed systems architecture or internal developer tooling Why Join Us • Work on real production systems for leading AI research labs — not toy projects • Fully remote and async-friendly — work from wherever you do your best work • Flexible contract hours that fit around your life and other commitments • Contribute to infrastructure that directly shapes how the next generation of AI models is built and evaluated • Potential for ongoing work and contract extension as projects grow and evolve