
Principal Systems Engineer (C++) - AI Infrastructure
- Pay
- $50–$75/hr
- Location
- Worldwide
- Type
- Contract
- Posted
- Jul 14, 2026
- Languages
- English
- Who can apply
- Not available in Kenya, Afghanistan, Burundi, Central African Republic, Republic of the Congo, Cuba, Dr Congo, Eritrea, Guinea, Guinea Bissau, Iran, Iraq, Liberia, Libya, Myanmar, North Korea, Papua New Guinea, Somalia, South Sudan, Sudan, Syria, Vanuatu, Venezuela, Yemen
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 seasoned C++ Systems Engineer to design and build high-performance pipelines, annotation tooling, and evaluation infrastructure used by leading AI labs at the frontier of model development.
This is a fully remote, flexible contract role for engineers who thrive on complex systems problems and want their work to matter at scale.
- 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 large-scale AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
- Improve reliability, performance, and safety across existing production C++ codebases
- Identify bottlenecks and edge cases in data and system behavior, and implement robust, scalable solutions
- 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
Who You Are
- Native or fluent English speaker with clear written and verbal communication skills
- 5+ years of professional experience writing production C++ for large-scale systems
- Strong full-stack development background with deep systems programming expertise
- Advanced knowledge of build system architecture and package management strategies
- Experienced designing reliable, production-grade systems with rigorous error handling
- Proficient with memory sanitizers and tooling to ensure memory safety
- Able to commit 20–40 hours per week consistently
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 design or developer tooling
Why Join Us
- Work on cutting-edge AI infrastructure alongside leading research labs at the frontier of AI
- 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
Similar jobs
Micro1