C++ Backend Engineer - AI Data Platforms
Company: Alignerr
Location: Seattle, WA (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-06-10
About this role
C++ Backend Engineer — AI Data Platforms
About The Role
What if your systems programming expertise could directly shape the infrastructure powering the world's most advanced AI models? We're looking for a Senior C++ Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.
This is a fully remote, flexible contract role for a seasoned C++ engineer who thrives on performance-critical systems and wants their work to have real, lasting impact on the AI landscape.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
What You'll Do
- Design, build, and optimize high-performance C++ systems that power AI data pipelines and model evaluation workflows
- Develop backend services and full-stack tooling supporting large-scale data annotation, validation, and quality control
- Improve reliability, safety, and throughput across existing production C++ codebases
- Identify and resolve bottlenecks, edge cases, and failure modes in complex distributed systems
- Collaborate closely with data, research, and engineering teams to accelerate model training and evaluation
- Participate in synchronous design reviews and contribute to architectural decisions that shape the platform
Who You Are
- Native or fluent English speaker with clear written and verbal communication skills
- 5+ years of professional experience writing production-grade C++
- Strong background in asynchronous network programming — event loops, RPC frameworks, and high-performance microservices
- Experienced 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 with consistency and reliability
Nice to Have
- Prior experience with data annotation platforms, data quality systems, or model evaluation infrastruct...