C++ Developer - Internal Tooling & Optimization

C++ Developer — Internal Tooling & Optimization (AI Training)About The RoleWhat if your C++ expertise could directly shape the infrastructure powering the next generation of AI? We're looking for senior-level C++ engineers to design, build, and optimize the high-performance systems that leading AI labs depend on — from data pipelines and annotation tooling to evaluation infrastructure that runs at scale.This is a fully remote, flexible contract role. If you're a systems-minded engineer who loves squeezing performance out of complex codebases and building tooling that other engineers rely on, this is the work for you.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 debug existing C++ codebases to identify bottlenecks and implement scalable, reliable fixesEmbed scripting languages within C++ applications to create flexible, extensible toolingCollaborate with data, research, and engineering teams to support model training and evaluation workflowsIdentify edge cases in data and system behavior and drive systematic improvementsParticipate in synchronous design reviews to iterate on architecture and implementation decisionsWho You Are3–5+ years of professional experience writing production-grade C++Full-stack developer with a strong systems programming backgroundExperienced profiling code and resolving performance bottlenecks in data-intensive environmentsComfortable embedding scripting languages (e.g., Python, Lua) within C++ applicationsClear and precise written and verbal communicator — you can explain technical decisions conciselyNative or fluent English speakerAble to commit 20–40 hours per week with reliability and consistencyNice to HavePrior experience with data annotation, data quality pipelines, or AI evaluation systemsFamiliarity with AI/ML workflows, model training infrastructure, or benchmarking pipelinesExperience with distributed systems or developer tooling at scaleBackground in performance engineering or low-latency systemsWhy Join UsWork directly on production systems used by leading AI research labsFully remote and async-friendly — work from wherever you're most productiveFreelance autonomy with the structure of meaningful, high-impact technical workContribute to infrastructure that shapes the future of AI developmentPotential for ongoing work and contract extension as projects grow and evolve