We Love AI JobsSystems Software Engineer - Machine Learning Ops
AlignerrAs a Systems Software Engineer at Alignerr, you'll work remotely in a contract role to design and optimize high-performance C++ systems that support AI data pipelines. You'll collaborate with cross-functional teams and tackle impactful projects that contribute to cutting-edge AI research and production systems.
Skills & Expertise
Key Responsibilities
Design, build, and optimize high-performance C++ systems for AI data pipelines.
Develop tooling and backend services for large-scale data annotation and validation.
Collaborate on model training and evaluation workflows with engineering and research teams.
Full Description
About The Job
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Position
Senior C++ Full-Stack Engineer — AI Data & Infrastructure
Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience)
Role Responsibilities
* Design, build, and optimize high-performance systems in C++ 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
* Collaborate with data, research, and engineering teams to support model training and evaluation workflows
* Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
* Participate in synchronous reviews to iterate on system design and implementation decisions
Qualifications
Must-Have
* Native or fluent English speaker
* Full-stack developer experience with a strong systems programming background
* 5+ years of professional experience writing production C++.
* Experience working with the C++ frontends of ML frameworks or inference runtimes.
* Familiarity with hardware acceleration APIs for optimizing model inference.
* Clear written and verbal communication skills.
* Ability to commit 20–40 hours per week.
Preferred
* 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
Application Process
* Submit your resume
* Complete a short technical screening
* Project matching and onboarding