Remote C++ Data Infra Architect for AI Pipelines

Alignerr Corp.

Seattle (WA)

Remote

USD 83,000 - 131,000

Part time

29 hours ago
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Benefits offered by this job

Fully remote
Flexible schedule

Job summary

Alignerr is seeking a senior C++ engineer for fully remote contract work to design and optimize high-performance data pipelines, annotation tooling, and evaluation systems used in AI labs. You will contribute across production-grade C++ codebases, tooling, and backend services, collaborating with data, research, and engineering teams to scale model training and evaluation.

The role is a fully remote hourly contract with 20–40 hours per week, offering flexible scheduling and meaningful, ongoing

Qualifications

  • 3–5+ years of professional experience writing production-grade C++.
  • Expert in efficient binary serialization formats.
  • Experience implementing zero-copy data exchange protocols for high-speed pipelines.

Responsibilities

  • Design, build, and optimize high-performance C++ systems for AI data pipelines and evaluation workflows.
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
  • Improve reliability, performance, and safety across existing C++ codebases.
  • Identify bottlenecks and edge cases in data and system behavior and implement scalable fixes.
  • Collaborate with data, research, and engineering teams to support model training and evaluation at scale.
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions.

Skills

C++
Systems programming
English communication
Binary serialization
Zero-copy data exchange

Job description

Alignerr is seeking a senior C++ engineer for fully remote contract work to design and optimize high-performance data pipelines, annotation tooling, and evaluation systems used in AI labs. You will contribute across production-grade C++ codebases, tooling, and backend services, collaborating with data, research, and engineering teams to scale model training and evaluation.

The role is a fully remote hourly contract with 20–40 hours per week, offering flexible scheduling and meaningful, ongoing

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