Principal Systems Engineer (C++) - AI Infrastructure
Alignerr · Remote · Coding / software engineering
Principal Systems Engineer (C++) - AI Infrastructure is an open role at Alignerr, available remotely, with pay listed as $50–$75/hr.
Applications open on Alignerr’s own site. How we make money.
At a glance
- Pay
- $50–$75/hrStated by Alignerr
- Location
- Remote
- Work type
- Coding / software engineering
- Field
- Coding
- Listed
- Since Oct 4, last confirmed Oct 24
How the pay compares
Higher than 48% of the 76 distinct hourly rates advertised for Coding roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Alignerr’s listing
“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?”
Show the full listing
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 wi
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Frequently asked questions
How do I apply for the Principal Systems Engineer (C++) - AI Infrastructure role at Alignerr?
Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.
Is the Principal Systems Engineer (C++) - AI Infrastructure role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Principal Systems Engineer (C++) - AI Infrastructure role at Alignerr pay?
Alignerr lists this role's pay as $50–$75/hr, quoted from the listing rather than estimated.
What kind of work is Principal Systems Engineer (C++) - AI Infrastructure?
Coding / software engineering. AI training, evaluation, coding, writing and specialist review
Is Alignerr a legitimate AI-training platform?
Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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