C++ Developer - Internal Tooling & Optimization

Alignerr Corp.

Seattle (WA)

À distance

USD 83 000 - 165 000

Temps partiel

Il y a 17 heures
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Résumé du poste

Alignerr is seeking a Senior C++ Full-Stack Engineer to design and optimize high-performance tooling and data pipelines powering AI infrastructure. This remote contract role focuses on building scalable systems for data annotation, evaluation, and model training support.

You will collaborate with research and engineering teams, embed scripting languages in C++, and optimize existing codebases for reliability and speed. 20–40 hours per week with flexible scheduling.

Qualifications

  • 3–5+ years of production-grade C++ experience.
  • Strong full-stack development foundation.
  • Experience profiling and optimizing data pipelines.
  • Embedding scripting languages within C++ applications.

Responsabilités

  • 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 and quality control.
  • Improve reliability, performance, and safety across existing C++ codebases.
  • Identify bottlenecks and implement scalable fixes in data and system behavior.
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows.
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions.

Connaissances

Production-grade C++
Full-stack development
Performance profiling
Scripting language embedding
English communication

Description du poste

C++ Developer — Internal Tooling & Optimization (AI Infrastructure)

About The Role

What if your C++ skills could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior C++ Full-Stack Engineer to design, build, and optimize the high-performance tooling and data pipelines that leading AI labs depend on — from annotation systems to evaluation infrastructure.

This is a fully remote, flexible contract role for experienced systems engineers who want meaningful, high-impact work on real production systems.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 20–40 hours/week
What You'll Do
  • Design, build, and optimize high-performance C++ systems supporting 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
  • Embed scripting languages within C++ applications to create flexible, extensible tooling
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
  • 3–5+ years of professional experience writing production-grade C++
  • Strong full-stack developer with a solid systems programming foundation
  • Experienced profiling and optimizing code to eliminate bottlenecks in data processing pipelines
  • Skilled at embedding scripting languages within C++ applications
  • Native or fluent English speaker with clear written and verbal communication skills
  • Able to commit 20–40 hours per week with consistency and reliability
Nice to Have
  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines
  • Experience with distributed systems or developer tooling
  • Background working alongside research or data science teams
Why Join Us
  • Work on cutting-edge AI infrastructure projects alongside leading research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-impact engineering work
  • Contribute directly to systems that shape how next-generation AI models are built and evaluated
  • Potential for ongoing work and contract extension as new projects launch
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