C++ Developer - Internal Tooling & Optimization
C++ Developer — Internal Tooling & Optimization (AI Training) 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