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C++ Developer - Internal Tooling & Optimization

Work from home Full-time role Hiring

C++ Developer — Internal Tooling & Optimization (AI Infrastructure) About The Role What if your C++ skills could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior C++ Full-Stack Engineer to design, build, and optimize the high-performance tooling and data pipelines that leading AI labs depend on — from annotation systems to evaluation infrastructure. This is a fully remote, flexible contract role for experienced systems engineers who want meaningful, high-impact work on real production systems. 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 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 Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes Embed scripting languages within C++ applications to create flexible, extensible tooling Collaborate with data, research, and engineering teams to support model training and evaluation workflows Participate in synchronous design reviews to iterate on system architecture and implementation decisions Who You Are 3–5+ years of professional experience writing production-grade C++ Strong full-stack developer with a solid systems programming foundation Experienced profiling and optimizing code to eliminate bottlenecks in data processing pipelines Skilled at embedding scripting languages within C++ applications Native or fluent English speaker with clear written and verbal communication skills Able to commit 20–40 hours per week with consistency and reliability

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 or developer tooling Background working alongside research or data science teams

Why Join Us

Work on cutting-edge AI infrastructure projects alongside leading research labs 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

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