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Alignerr

C++ Engineer - High Performance Computing (HPC)

About this role

About the Role What if your mastery of C++ could directly shape the infrastructure powering the next generation of AI? We're looking for senior C++ engineers to build and optimize the high-performance systems that leading AI labs depend on — data pipelines, annotation tooling, evaluation infrastructure, and more. This is a fully remote, flexible contract role. If you live and breathe modern C++, care deeply about performance, and want your work to have real impact on cutting-edge AI research, this is the role for you. - 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 production C++ codebases - Identify bottlenecks and edge cases in data and system behavior, then implement scalable, robust fixes - 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 - 5+ years of professional experience writing production-grade C++ — modern standards (C++17 or C++20) preferred - Deep understanding of computer architecture, SIMD intrinsics, and cache coherency to optimize compute-heavy AI workloads - Expert in lock-free programming and maximizing parallelism using threading libraries - Full-stack developer background with a strong systems programming foundation - Native or fluent English speaker with clear written and verbal communication skills - 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 with distributed systems or developer tooling - Background in HPC, game engines, or other performance-critical domains Why Join Us - Work directly with leading AI labs on real production systems — not toy projects - Fully remote and flexible — work on your schedule, from anywhere - Freelance autonomy with the structure of meaningful, high-impact engineering work - Tackle genuinely hard technical problems at the frontier of AI infrastructure - Potential for ongoing work and contract extension as new projects launch

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