C++ Backend Engineer — AI Data Platforms
About The Role
What if your expertise in high-performance C++ could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior C++ Backend Engineer to design, build, and optimize the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve next-generation models.
This is a fully remote contract role with flexible hours. If you've spent years writing production C++ and want to do some of the most technically meaningful work of your career — this is it.
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 correctness across existing production C++ codebases
Identify bottlenecks and edge cases in system and data behavior, then implement scalable, maintainable fixes
Collaborate asynchronously with data, research, and engineering teams to support model training and benchmarking 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 similar patterns for high-performance microservices
Experience interfacing with high-throughput databases or message queues
Full-stack development experience with a solid systems programming foundation
Able to commit 20–40 hours per week consistently
Nice to Have
Prior experience with data annotation pipelines, data quality systems, or evaluation infrastructure
Familiarity with AI/ML workflows, model training pipelines, or benchmarking systems
Experience building distributed systems or developer tooling
Background working alongside research or ML engineering teams
Why Join Us
Work on production systems used by leading AI research labs — real impact, not toy projects
Fully remote and flexible — work from wherever you do your best thinking
Freelance autonomy with the focus and structure of high-stakes engineering work
Collaborate with sharp engineers and researchers on some of the most challenging infrastructure problems in AI today
Potential for ongoing work and contract extension as new projects launch