C++ Developer - Internal Tooling & Optimization

C++ Developer — Internal Tooling & Optimization (AI Infrastructure) About The Role What if your C++ expertise could directly shape the infrastructure that powers the world’s most advanced AI systems? We’re looking for a Senior C++ Full-Stack Engineer to build and optimize the high-performance tooling, data pipelines, and evaluation systems that leading AI labs depend on every day.

This is a fully remote contract role working on real production systems — not toy projects. You’ll collaborate with data, research, and engineering teams at the frontier of AI development, tackling genuinely hard systems problems with meaningful impact.

• 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
• Profile and refactor existing C++ codebases to eliminate bottlenecks and improve reliability, performance, and safety
• Embed scripting languages within C++ applications to create flexible, extensible internal tools
• Identify edge cases and failure modes in complex data and system behavior — then implement scalable fixes
• Collaborate with research and engineering teams to align tooling with model training and evaluation needs
• Participate in synchronous design reviews to iterate on system architecture and implementation decisions

Who You Are

• 3–5+ years of professional experience writing production-grade C++
• Strong full-stack developer background with a deep systems programming foundation
• Experienced at embedding scripting languages (Python, Lua, etc.) within C++ applications to build flexible tooling
• Skilled at profiling and optimizing data processing pipelines — you know where the slowdowns hide
• Clear, confident communicator in written and verbal English
• Self-directed and reliable — you can deliver quality work with minimal hand-holding
• Able to commit 20–40 hours per week on a consistent basis

Nice to Have

• Prior experience with data annotation, data quality pipelines, or evaluation systems
• Familiarity with AI/ML workflows, model training infrastructure, or benchmarking pipelines
• Experience with distributed systems, developer tooling, or internal platform engineering
• Background contributing to or reviewing large, long-lived C++ codebases

Why Join Us

• Work directly on cutting-edge AI infrastructure alongside leading research labs
• Fully remote and async-friendly — work from wherever you do your best work
• Freelance autonomy paired with meaningful, technically challenging assignments
• Make a tangible impact on the systems that train and evaluate next-generation AI models
• Potential for ongoing work and contract extension as new projects launch