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

Work arrangement
Yes