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C++ Backend Engineer - AI Data Platforms

Alignerr

RemoteseniorPosted 4h ago

Job description

C++ Backend Engineer โ€” 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: 20โ€“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 โ€” 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 20โ€“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 โ€” 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