Senior C++ Full-Stack Engineer — AI Data & Infrastructure

What if your systems programming expertise could directly shape the infrastructure powering the world's most advanced AI models? We're looking for Senior C++ Engineers 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 AI.

This is a fully remote, flexible contract role for engineers who write clean, fast, production-grade C++ and want to work on problems that genuinely matter.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week

• 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 memory safety across existing production C++ codebases
• Identify bottlenecks and edge cases in system and data behavior — then implement scalable, production-ready fixes
• Collaborate with data, research, and engineering teams to accelerate model training and evaluation
• Participate in synchronous design reviews to iterate on architecture and implementation decisions

• Full-stack developer with a strong systems programming background
• 3–5+ years of professional experience writing production C++, with a focus on modern standards (C++17 or C++20)
• Deep familiarity with performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers)
• Native or fluent English speaker with clear written and verbal communication skills
• Able to commit 20–40 hours per week with professional reliability
• Self-directed and effective when working independently in a remote environment

• 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
• Exposure to working with research teams or in fast-moving technical environments

• Work directly with leading AI labs on production systems that power cutting-edge research
• Fully remote and flexible — work when and where you're most productive
• Freelance autonomy with the substance of meaningful, high-impact engineering work
• Tackle genuinely hard technical problems with real consequences for AI development
• Potential for ongoing work and contract extension as new projects launch