C++ Backend Engineer — AI Data Platforms
About The Role
What if your systems programming expertise could directly shape the infrastructure powering next-generation AI? We're looking for senior C++ engineers to build, optimize, and scale the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on.
This is a fully remote contract role with meaningful technical depth — real production systems, real impact, and the kind of engineering challenges that actually push your skills forward.
• 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 backend services and tooling for data annotation, validation, and quality control at scale
• Improve reliability, performance, and safety across existing C++ codebases
• Identify bottlenecks and edge cases in system and data behavior — then implement clean, scalable fixes
• 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
• 5+ years of professional experience writing production-grade C++
• Strong background in asynchronous network programming — event loops, RPC frameworks, or high-performance microservices
• Experienced working with high-throughput databases or message queues
• Full-stack developer mindset with a deep systems programming foundation
• Able to commit 20–40 hours per week consistently
Nice to Have
• Prior experience with data annotation, data quality pipelines, or evaluation systems
• Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
• Experience with distributed systems design or developer tooling
Why Join Us
• Work directly with leading AI research labs on systems that matter
• Fully remote — work from wherever you do your best thinking
• Flexible contract engagement with meaningful, high-impact technical work
• Collaborate with top-tier engineers across data, research, and infrastructure
• Potential for ongoing work and contract extension as projects scale