C++ Developer - Internal Tooling & Optimization
About this role
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
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