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