C++ Backend Engineer - AI Data Platforms

Job summary

Seattle
Software Developer

Work model

Fully remote
Worldwide
1 week ago
Job description

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 infrastructure
  • Familiarity with AI/ML workflows, model training pipelines, or benchmarking systems
  • Experience with distributed systems architecture or internal developer tooling

Why Join Us

  • Work on real production systems for leading AI research labs --- not toy projects
  • Fully remote and async-friendly --- work from wherever you do your best work
  • Flexible contract hours that fit around your life and other commitments
  • Contribute to infrastructure that directly shapes how the next generation of AI models is built and evaluated
  • Potential for ongoing work and contract extension as projects grow and evolve