C++ Developer - Internal Tooling & Optimization
About this role
About the Role What if your C++ expertise could directly shape the infrastructure behind the most advanced AI systems in the world? We're looking for experienced C++ engineers to design, build, and optimize the internal tooling and data pipelines that power next-generation AI research and production workflows. This is a fully remote, flexible contract role for engineers who thrive at the intersection of systems performance, data infrastructure, and high-impact technical work. You'll be embedded in real engineering workflows alongside leading AI labs — writing code that matters. - 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 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 Who You Are - Native or fluent English speaker with strong written and verbal communication skills - Full-stack developer with a deep systems programming background - 3–5+ years of professional experience writing production-grade C++ - Experienced in embedding scripting languages within C++ applications for flexible tooling - Skilled at profiling code and identifying performance bottlenecks in data-intensive systems - Able to commit 20–40 hours per week consistently - Self-directed and reliable when working in a remote, asynchronous environment Nice to Have - Prior experience with data annotation, data quality, or AI evaluation systems - Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure - Experience with distributed systems or developer tooling at scale - Background in systems design for high-throughput or low-latency environments Why Join Us - Work on real production systems alongside top AI research labs — not toy projects - Fully remote and flexible — structure your work around your life - Freelance autonomy with the substance of high-impact, technically demanding work - Contribute directly to infrastructure that shapes the future of AI development - Potential for ongoing contracts and expanded scope as new projects launch
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