C++ Developer - Internal Tooling & Optimization
About this role
About the Role What if your C++ expertise could directly shape the infrastructure powering the next generation of AI? We're looking for senior-level C++ engineers to design, build, and optimize the high-performance systems that leading AI labs depend on — from data pipelines and annotation tooling to evaluation infrastructure that runs at scale. This is a fully remote, flexible contract role. If you're a systems-minded engineer who loves squeezing performance out of complex codebases and building tooling that other engineers rely on, this is the work 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 - Profile and debug existing C++ codebases to identify bottlenecks and implement scalable, reliable 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 - Identify edge cases in data and system behavior and drive systematic improvements - Participate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - 3–5+ years of professional experience writing production-grade C++ - Full-stack developer with a strong systems programming background - Experienced profiling code and resolving performance bottlenecks in data-intensive environments - Comfortable embedding scripting languages (e.g., Python, Lua) within C++ applications - Clear and precise written and verbal communicator — you can explain technical decisions concisely - Native or fluent English speaker - Able to commit 20–40 hours per week with reliability and consistency Nice to Have - Prior experience with data annotation, data quality pipelines, or AI evaluation systems - Familiarity with AI/ML workflows, model training infrastructure, or benchmarking pipelines - Experience with distributed systems or developer tooling at scale - Background in performance engineering or low-latency systems Why Join Us - Work directly on production systems used by leading AI research labs - Fully remote and async-friendly — work from wherever you're most productive - Freelance autonomy with the structure of meaningful, high-impact technical work - Contribute to infrastructure that shapes the future of AI development - Potential for ongoing work and contract extension as projects grow and evolve
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