Posted Jul 9, 2026

C++ Developer - Internal Tooling & Optimization

Apply for this role →
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