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C++ Backend Engineer - AI Data Platforms

  • Source: LinkedIn
  • Alignerr
  • Remote
  • New York City
  • Mid level

Job Description

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 benchmarking infrastructure
  • Experience with distributed systems architecture or developer tooling
  • Background working alongside research teams or in AI-adjacent environments

Why Join Us

  • Work directly with leading AI labs on production systems that matter
  • Fully remote — work from wherever you do your best work
  • Flexible hours with meaningful, high-impact engineering challenges
  • Contribute to the infrastructure that shapes how next-generation AI is built and evaluated
  • Potential for ongoing work and contract extension as projects evolve

Skills

  • cplusplus
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