C++ Developer - Internal Tooling & Optimization

C++ Developer — Internal Tooling & Optimization (AI Training) About The Role What if your C++ expertise could directly shape the infrastructure behind the most advanced AI systems in the world? We're looking for experienced C++ engineers to design, build, and optimize the internal tooling and data pipelines that power next-generation AI research and production workflows. This is a fully remote, flexible contract role for engineers who thrive at the intersection of systems performance, data infrastructure, and high-impact technical work. You'll be embedded in real engineering workflows alongside leading AI labs — writing code that matters. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 20–40 hours/week What You'll Do Design, build, and optimize high-performance C++ systems supporting AI data pipelines and evaluation workflowsDevelop backend services and full-stack tooling for large-scale data annotation, validation, and quality controlImprove reliability, performance, and safety across existing production C++ codebasesProfile and benchmark code to identify bottlenecks in data processing systems and implement scalable solutionsEmbed scripting languages within C++ applications to create flexible, extensible internal toolsCollaborate with data, research, and engineering teams to accelerate model training and evaluationParticipate in synchronous design reviews to iterate on system architecture and implementation decisions Who You Are Native or fluent English speaker with strong written and verbal communication skillsFull-stack developer with a deep systems programming background3–5+ years of professional experience writing production-grade C++Experienced in embedding scripting languages within C++ applications for flexible toolingSkilled at profiling code and identifying performance bottlenecks in data-intensive systemsAble to commit 20–40 hours per week consistentlySelf-directed and reliable when working in a remote, asynchronous environment Nice to Have Prior experience with data annotation, data quality, or AI evaluation systemsFamiliarity with AI/ML workflows, model training pipelines, or benchmarking infrastructureExperience with distributed systems or developer tooling at scaleBackground in systems design for high-throughput or low-latency environments Why Join Us Work on real production systems alongside top AI research labs — not toy projectsFully remote and flexible — structure your work around your lifeFreelance autonomy with the substance of high-impact, technically demanding workContribute directly to infrastructure that shapes the future of AI developmentPotential for ongoing contracts and expanded scope as new projects launch