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

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 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

What You'll Do

• 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

Who You Are

• 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

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

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

Why Join Us

• 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