Systems Software Engineer - Machine Learning Ops
About this role
About the Role What 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: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design, build, and optimize high-performance C++ systems supporting large-scale AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale - Improve reliability, performance, and safety across production C++ codebases - Identify and resolve bottlenecks, edge cases, and systemic issues in data and system behavior - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - Native or fluent English speaker with clear written and verbal communication skills - Full-stack developer with a strong systems programming background - 5+ years of professional experience writing production-grade C++ - Experienced working with the C++ frontends of ML frameworks or inference runtimes - Familiar with hardware acceleration APIs for optimizing model inference - Able to commit 20–40 hours per week with reliability and consistency Nice to Have - Prior experience with data annotation, data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Why Join Us - Work directly on cutting-edge AI infrastructure alongside leading research labs - Fully remote and flexible — work when and where you do your best work - Freelance autonomy with the substance of high-impact, technically demanding projects - Contribute to systems that meaningfully shape how next-generation AI models are built and evaluated - Potential for ongoing work and contract extension as new projects launch
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