Systems Software Engineer — Machine Learning Ops

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