C++ Developer - Internal Tooling & Optimization

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

• 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

• 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

• 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

• 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