C++ Backend Engineer - AI Data Platforms

Company: Alignerr

Location: New York, NY (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-08-17

About this role

C++ Backend Engineer — AI Data Platforms
About The Role
What if your expertise in high-performance C++ could directly shape the infrastructure that powers the world's most advanced AI systems? We're looking for a senior C++ engineer to design and build the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and validate next-generation models.


This is a fully remote, flexible contract role for an experienced systems engineer who wants to do meaningful, high-impact work at the frontier of AI development.

  • 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 evaluation workflows
  • Develop backend services and tooling for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and correctness across existing C++ codebases
  • Identify bottlenecks and edge cases in data and system behavior, and implement scalable solutions
  • Collaborate closely with data, research, and engineering teams to support model training and evaluation
  • Participate in synchronous design reviews to iterate on system architecture and implementation decisions

Who You Are

  • 5+ years of professional experience writing production-grade C++
  • Strong background in asynchronous network programming — event loops, RPC frameworks, or high-performance microservices
  • Experience working with high-throughput databases or message queues
  • Native or fluent English speaker with clear written and verbal communication skills
  • Able to commit 20–40 hours per week with consistency and reliability
  • Self-directed and comfortable operating in fast-moving engineering environments

Nice to Have

  • Prior experience with data annotation, data quality pipelines, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmar...

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