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

About The Role

What if your deep C++ expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior C++ Full-Stack Engineer to design, build, and optimize the systems that leading AI labs depend on — from high-performance data pipelines to annotation tooling and evaluation infrastructure. This is a fully remote, flexible contract role for an experienced systems engineer who thrives on hard problems, cares deeply about performance and reliability, and wants their work to matter at scale.

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

Who You Are

• Native or fluent English speaker with strong written and verbal communication skills
• Full-stack developer with a deep systems programming background
• 3–5+ years of professional experience writing production C++, with a strong command of modern standards (C++17 or C++20)
• Proven expertise in performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers)
• Self-directed and reliable — able to commit 20–40 hours per week and deliver consistently in a remote environment
• Nice to have:
• Prior experience with data annotation pipelines, data quality systems, or evaluation infrastructure
• Familiarity with AI/ML workflows, model training, or benchmarking pipelines
• Experience with distributed systems or developer tooling

Why Join Us

• Work directly with leading AI labs on real production systems — not toy projects
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure and focus of high-impact technical work
• Contribute to infrastructure that shapes how next-generation AI models are built and evaluated
• Potential for ongoing work and contract extension as new projects launch