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Principal Systems Engineer (C++) - AI Infrastructure

Alignerr
Denver, CO Contractor
POSTED ON 8/4/2026 CLOSED ON 9/2/2026

What are the responsibilities and job description for the Principal Systems Engineer (C++) - AI Infrastructure position at Alignerr?

Principal Systems Engineer (C ) — AI Infrastructure

About The Role

What if your deep C expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Principal Systems Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and improve next-generation models.

This is a fully remote, flexible contract role for senior engineers who want to work on real production systems with genuine impact — not toy projects.

  • 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 full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Harden reliability, performance, and memory safety across production C codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation at scale
  • Identify bottlenecks and edge cases across data and system behavior, then implement robust, scalable fixes
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are

  • Native or fluent English speaker with clear written and verbal communication skills
  • Experienced full-stack developer with a strong systems programming background
  • 5 years of professional experience writing production-grade C for large-scale systems
  • Deep knowledge of build system architecture and package management strategies
  • Proven experience designing reliable systems with rigorous error handling and memory safety (sanitizers, ASAN, TSAN, etc.)
  • Able to commit 20–40 hours per week with consistency

Nice to Have

  • Prior experience with data annotation, data quality pipelines, or evaluation frameworks
  • Familiarity with AI/ML workflows, model training infrastructure, or benchmarking systems
  • Experience with distributed systems or developer tooling at scale

Why Join Us

  • Work directly with leading AI labs on production systems that matter
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-impact engineering work
  • Collaborate with world-class data, research, and engineering teams pushing the frontier of AI
  • Potential for ongoing work and contract extension as new projects launch

Salary : $50 - $75

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