C++ Backend Engineer - AI Data Platforms
Role summary
Alignerr is seeking a Senior C++ Full-Stack Engineer for a remote, contract role focused on building and optimizing AI data platforms and infrastructure. The engineer will design, build, and optimize high-performance C++ systems for AI data pipelines and evaluation workflows, develop full-stack tooling and backend services for data annotation and quality control, and improve system reliability and performance. The role requires a strong systems programming background with 5+ years of production C++ experience, proficiency in asynchronous network programming, and experience with high-throughput databases or message queues. Familiarity with AI/ML workflows and distributed systems is preferred.
About The Job
Alignerr
connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
**Position**
Senior C++ Full-Stack Engineer — AI Data & Infrastructure
Type:
Contract, Remote
Commitment:
20–40 hours/week
Compensation:
Competitive, hourly (based on experience)
**Role Responsibilities**
- Design, build, and optimize high-performance systems in C++ supporting AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
- Improve reliability, performance, and safety across existing C++ codebases
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
- Participate in synchronous reviews to iterate on system design and implementation decisions
Qualifications
Must-Have
- Native or fluent English speaker
- Full-stack developer experience with a strong systems programming background
- 5+ years of professional experience writing production C++.
- Strong background in asynchronous network programming using event loops or RPC frameworks for high-performance microservices.
- Experience interfacing with high-throughput databases or message queues.
- Clear written and verbal communication skills.
- Ability to commit 20–40 hours per week.
Preferred
- 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
**Application Process**
- Submit your resume
- Complete a short technical screening
- Project matching and onboarding