Technology, Information and Internet · 4.4k people
C++ Backend Engineer - AI Data Platforms
Posted 2 Nov
What’s this role about? Design, build, and optimize high-performance C++ systems, backend services, and tooling for AI data pipelines, annotation, validation, quality control, and evaluation. Improve existing systems' reliability, performance, and correctness, identify and resolve bottlenecks, and collaborate with research, data, and engineering teams on architecture and implementation.
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Company
About Alignerr We're looking for experts to help train better AI. At Alignerr, we offer paid, flexible projects for writers, coders, and subject matter experts to refine and align advanced artificial intelligence. Work when you want, where you want. Apply today at Alignerr.com or through our open Job Postings.
Responsibilities
- 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
Qualification
Required
- 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
Preferred
- 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
Benefits
- 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
Interested in this role?
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