Systems Software Engineer - Machine Learning Ops
Systems Software Engineer — Machine Learning OpsAbout The RoleWhat if your deep C++ expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a senior systems engineer to build and optimize the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and ship better models.This is a fully remote, flexible contract role for engineers who thrive at the intersection of systems programming and cutting-edge AI. Real production systems. High-impact work. Serious technical depth.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 20–40 hours/weekWhat You'll DoDesign, build, and optimize high-performance C++ systems supporting large-scale AI data pipelines and evaluation workflowsDevelop full-stack tooling and backend services for data annotation, validation, and quality control at scaleImprove reliability, performance, and safety across production C++ codebasesIdentify and resolve bottlenecks, edge cases, and systemic issues in data and system behaviorCollaborate with data, research, and engineering teams to support model training and evaluation workflowsParticipate in synchronous design reviews to iterate on architecture and implementation decisionsWho You AreNative or fluent English speaker with clear written and verbal communication skillsFull-stack developer with a strong systems programming background5+ years of professional experience writing production-grade C++Experienced working with the C++ frontends of ML frameworks or inference runtimesFamiliar with hardware acceleration APIs for optimizing model inferenceAble to commit 20–40 hours per week with reliability and consistencyNice to HavePrior experience with data annotation, data quality, or evaluation systemsFamiliarity with AI/ML workflows, model training, or benchmarking pipelinesExperience with distributed systems or developer toolingWhy Join UsWork directly on cutting-edge AI infrastructure alongside leading research labsFully remote and flexible — work when and where you do your best workFreelance autonomy with the substance of high-impact, technically demanding projectsContribute to systems that meaningfully shape how next-generation AI models are built and evaluatedPotential for ongoing work and contract extension as new projects launch