C++ Developer - Internal Tooling & Optimization

C++ Developer - Internal Tooling & OptimizationWhat 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, andevaluation 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: AlignerrType: Hourly ContractLocation: RemoteCommitment: 20–40 hours/weekWhat You'll DoDesign, build, and optimize high-performance C++ systems supporting AI data pipelines and evaluation workflowsDevelop full-stack tooling and backend services for large-scale data annotation, validation, and quality controlProfile and refactor existing C++ codebases to eliminate bottlenecks and improve reliability, performance, and safetyEmbed scripting languages within C++ applications to create flexible, extensible internal toolsIdentify edge cases and failure modes in complex data and system behavior — then implement scalable fixesCollaborate with research and engineering teams to align tooling with model training and evaluation needsParticipate in synchronous design reviews to iterate on system architecture and implementation decisionsWho You Are3–5+ years of professional experience writing production-grade C++Strong full-stack developer background with a deep systems programming foundationExperienced at embedding scripting languages (Python, Lua, etc.) within C++ applications to build flexible toolingSkilled at profiling and optimizing data processing pipelines — you know where the slowdowns hideClear, confident communicator in written and verbal EnglishSelf-directed and reliable — you can deliver quality work with minimal hand-holdingAble to commit 20–40 hours per week on a consistent basisNice to HavePrior experience with data annotation, data quality pipelines, or evaluation systemsFamiliarity with AI/ML workflows, model training infrastructure, or benchmarking pipelinesExperience with distributed systems, developer tooling, or internal platform engineeringBackground contributing to or reviewing large, long-lived C++ codebasesWhy Join UsWork directly on cutting-edge AI infrastructure alongside leading research labsFully remote and async-friendly — work from wherever you do your best workFreelance autonomy paired with meaningful, technically challenging assignmentsMake a tangible impact on the systems that train and evaluate next-generation AI modelsPotential for ongoing work and contract extension as new projects launch