Remote C++ Systems Engineer - AI Tooling & Optimization

Alignerr; Seattle (WA); On-site; USD 96,000 - 165,000; Part time

Job summary

Alignerr is seeking a skilled C++ Developer for internal tooling and optimization in AI training workflows. This fully remote hourly contract role offers 20–40 hours per week, enabling you to contribute to high-impact data pipelines and tooling alongside leading AI labs.

You will design and optimize high-performance C++ systems, embed scripting languages for flexible tooling, and collaborate across data, research, and engineering teams to accelerate model training and evaluation.

Qualifications

• 3–5+ years of professional experience writing production-grade C++.
• Experience embedding scripting languages within C++ applications.
• Strong English communication skills (written and verbal).

Responsibilities

• Design, build, and optimize high-performance C++ systems supporting AI data pipelines and evaluation workflows.
• Develop backend services and full-stack tooling for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing production C++ codebases.
• Profile and benchmark code to identify bottlenecks in data processing systems and implement scalable solutions.
• Embed scripting languages within C++ applications to create flexible, extensible internal tools.
• Collaborate with data, research, and engineering teams to accelerate model training and evaluation.
• Participate in synchronous design reviews to iterate on system architecture and implementation decisions.

Skills

C++

Systems programming

Profiling

English fluency

Tools

Scripting languages embedding

Job description

Alignerr is seeking a skilled C++ Developer for internal tooling and optimization in AI training workflows. This fully remote hourly contract role offers 20–40 hours per week, enabling you to contribute to high-impact data pipelines and tooling alongside leading AI labs.

You will design and optimize high-performance C++ systems, embed scripting languages for flexible tooling, and collaborate across data, research, and engineering teams to accelerate model training and evaluation.