Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Design, build, and optimize high-performance systems in C++ 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
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 fixes
Participate in synchronous reviews to iterate on system design and implementation decisions
Native or fluent English speaker
Full-stack developer experience with a strong systems programming background
3-5+ years of professional experience writing production C++ (with a focus on modern standards like C++17 or C++20).
Strong systems programming background in performance optimization, concurrency (e.g., threading, atomics), and memory safety (e.g., RAII, smart pointers, sanitizers).
Clear written and verbal communication skills
Ability to commit 20â40 hours per week
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