Senior C++ Full-Stack Engineer — AI Data & Infrastructure
About The Role What if your C++ skills could directly shape the infrastructure behind the world's most advanced AI systems? We're looking for a Senior C++ Full-Stack Engineer to build and optimize the 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 contract role working on real production systems — not toy projects. You'll be embedded alongside data, research, and engineering teams doing high-impact work at the frontier of AI development.
- 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 AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
- Improve reliability, performance, and safety across existing C++ codebases — from concurrency bottlenecks to memory safety issues
- Collaborate closely with data, research, and engineering teams to support model training and evaluation workflows
- Identify edge cases and systemic bottlenecks in data and system behavior, then implement scalable, production-ready fixes
- Participate in synchronous design reviews to iterate on architecture and implementation decisions
Who You Are
- Full-stack developer with a strong systems programming foundation and a bias for clean, performant code
- 3–5+ years of professional experience writing production C++, with fluency in modern standards (C++17 or C++20)
- Deep understanding of systems programming fundamentals — performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers)
- Native or fluent English speaker with clear written and verbal communication skills
- Self-directed and reliable with the ability to commit 20–40 hours per week
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 at scale
Why Join Us
- Work on cutting-edge AI infrastructure alongside leading research labs — your code will matter
- Fully remote and flexible — work where and how you do your best work
- Freelance autonomy with meaningful, technically challenging work
- Direct impact on the data systems and tooling that shape how next-generation AI models are built
- Potential for ongoing work and contract extension as new projects launch
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